{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib as plt\n",
    "import numpy as np\n",
    "import time\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？</td>\n",
       "      <td>https://www.zhihu.com/question/446790267</td>\n",
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       "      <td>之前一直觉得禁止进口菠萝对台湾影响非常大，毕竟大陆占了97%的出口量。但是后来从其他渠道了解...</td>\n",
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       "      <td>https://www.zhihu.com/people/zhuang-sheng-yi-m...</td>\n",
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       "      <td>https://www.zhihu.com/question/446382520</td>\n",
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       "      <td>近日，董明珠在《初入职场的我们》视察工厂时提醒老员工要注重技术人员，尤其是那些优秀的19届、...</td>\n",
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       "      <td>https://www.zhihu.com/question/456938149</td>\n",
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       "      <td>是</td>\n",
       "      <td>https://www.zhihu.com/people/zhong-guo-xin-wen...</td>\n",
       "      <td>【美国曾向太平洋偷排767吨毒废水】《洛杉矶时报》近日揭露洛杉矶海底巨型DDT废水桶“坟场”...</td>\n",
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       "      <td>20210429</td>\n",
       "      <td>1+0.1+0.01+0.001+0.0001... 一直下去会在实际中到达 2 吗？</td>\n",
       "      <td>https://www.zhihu.com/question/444218811</td>\n",
       "      <td>1804</td>\n",
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       "      <td>否</td>\n",
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       "      <th>598</th>\n",
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       "      <td>20210429</td>\n",
       "      <td>如何看待上海税务和北京广电部门调查有关机构和演艺人员涉嫌「阴阳合同」「天价片酬」「偷逃税」等问题？</td>\n",
       "      <td>https://www.zhihu.com/question/457028571</td>\n",
       "      <td>1699</td>\n",
       "      <td>239</td>\n",
       "      <td>9</td>\n",
       "      <td>2021-04-28 18:42:52</td>\n",
       "      <td>2021-04-28 20:28:36</td>\n",
       "      <td>经济观察报</td>\n",
       "      <td>是</td>\n",
       "      <td>https://www.zhihu.com/people/jing-ji-guan-cha-bao</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>599</th>\n",
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       "      <td>否</td>\n",
       "      <td>20210429</td>\n",
       "      <td>游客住农家乐遭村民入室性侵，农家乐称不清楚他如何进屋，警方已立案，暴露了哪些问题？农家乐有哪...</td>\n",
       "      <td>https://www.zhihu.com/question/456979537</td>\n",
       "      <td>1613</td>\n",
       "      <td>26</td>\n",
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       "      <td>2021-04-28 13:30:59</td>\n",
       "      <td>2021-04-29 08:08:38</td>\n",
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       "      <td>是</td>\n",
       "      <td>https://www.zhihu.com/people/zhong-guo-xin-wen...</td>\n",
       "      <td>【住农家乐游客报案遭村民入室性侵，农家乐：不清楚他如何进屋】4月27日，贵州毕节。黄某报案入...</td>\n",
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      "text/plain": [
       "      序号 是否为时政      热榜日期                                                 标题  \\\n",
       "0      0     是  20210301                2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？   \n",
       "1      1     否  20210301                   如何看待中科大 26 岁教授陈杲攻克数学复微分几何领域世界难题？   \n",
       "2      2     否  20210301                        如何看待山东拉面哥十几年坚持一碗拉面三块不涨价的行为？   \n",
       "3      3     否  20210301            爸爸为弟弟买房，让我以后一起还房贷。我拒绝了，爸爸说我不知道心疼他，我有错么？   \n",
       "4      4     否  20210301                                        如何评价吴孟达的地位？   \n",
       "..   ...   ...       ...                                                ...   \n",
       "595  595     否  20210429                 如何看待董明珠给新员工分房，称多给一万块没用，房子才能解决根本问题？   \n",
       "596  596     是  20210429  洛杉矶海底巨型 DDT 废水桶被人为凿开，据测算美国曾向太平洋偷排 767 吨毒废水，会带来...   \n",
       "597  597     否  20210429        1+0.1+0.01+0.001+0.0001... 一直下去会在实际中到达 2 吗？   \n",
       "598  598     否  20210429  如何看待上海税务和北京广电部门调查有关机构和演艺人员涉嫌「阴阳合同」「天价片酬」「偷逃税」等问题？   \n",
       "599  599     否  20210429  游客住农家乐遭村民入室性侵，农家乐称不清楚他如何进屋，警方已立案，暴露了哪些问题？农家乐有哪...   \n",
       "\n",
       "                                         问题主页    热度  回答数量  排名  \\\n",
       "0    https://www.zhihu.com/question/446790267  4022   149   1   \n",
       "1    https://www.zhihu.com/question/446619006  2004    76   2   \n",
       "2    https://www.zhihu.com/question/446038738  1823   374   3   \n",
       "3    https://www.zhihu.com/question/446382520  1246    67   4   \n",
       "4    https://www.zhihu.com/question/446726248  1206   436   5   \n",
       "..                                        ...   ...   ...  ..   \n",
       "595  https://www.zhihu.com/question/456846832  2570    34   6   \n",
       "596  https://www.zhihu.com/question/456938149  2025   213   7   \n",
       "597  https://www.zhihu.com/question/444218811  1804  1215   8   \n",
       "598  https://www.zhihu.com/question/457028571  1699   239   9   \n",
       "599  https://www.zhihu.com/question/456979537  1613    26  10   \n",
       "\n",
       "                  问题创建时间               进入热榜时间       提问者 是否为机构号  \\\n",
       "0    2021-02-28 04:09:51  2021-03-01 13:17:52      1096      否   \n",
       "1    2021-02-27 08:26:53  2021-03-01 10:46:03    惠飞须泽胡桃      否   \n",
       "2    2021-02-24 00:56:16  2021-02-28 17:56:54     庄生一梦牵      否   \n",
       "3    2021-02-25 22:09:43  2021-03-01 13:19:24        匿名      否   \n",
       "4    2021-02-27 20:06:35  2021-02-28 01:01:01     1号唠嗑员      否   \n",
       "..                   ...                  ...       ...    ...   \n",
       "595  2021-04-27 17:08:06  2021-04-29 09:41:40  21世纪经济报道      是   \n",
       "596  2021-04-28 08:53:04  2021-04-28 14:33:46    中国新闻周刊      是   \n",
       "597  2021-02-13 13:53:18  2021-02-17 01:56:20      云云仲昇      否   \n",
       "598  2021-04-28 18:42:52  2021-04-28 20:28:36     经济观察报      是   \n",
       "599  2021-04-28 13:30:59  2021-04-29 08:08:38    中国新闻周刊      是   \n",
       "\n",
       "                                                 提问者主页  \\\n",
       "0           https://www.zhihu.com/people/yu-yang-98-22   \n",
       "1    https://www.zhihu.com/people/hui-fei-xu-ze-hu-...   \n",
       "2    https://www.zhihu.com/people/zhuang-sheng-yi-m...   \n",
       "3                                                匿名无主页   \n",
       "4         https://www.zhihu.com/people/jing-yu-50-35-6   \n",
       "..                                                 ...   \n",
       "595  https://www.zhihu.com/people/21shi-ji-jing-ji-...   \n",
       "596  https://www.zhihu.com/people/zhong-guo-xin-wen...   \n",
       "597  https://www.zhihu.com/people/yun-yun-zhong-she...   \n",
       "598  https://www.zhihu.com/people/jing-ji-guan-cha-bao   \n",
       "599  https://www.zhihu.com/people/zhong-guo-xin-wen...   \n",
       "\n",
       "                                                问题内容描述  \n",
       "0    之前一直觉得禁止进口菠萝对台湾影响非常大，毕竟大陆占了97%的出口量。但是后来从其他渠道了解...  \n",
       "1                                                  NaN  \n",
       "2                                                  NaN  \n",
       "3                                                  NaN  \n",
       "4                                                  NaN  \n",
       "..                                                 ...  \n",
       "595  近日，董明珠在《初入职场的我们》视察工厂时提醒老员工要注重技术人员，尤其是那些优秀的19届、...  \n",
       "596  【美国曾向太平洋偷排767吨毒废水】《洛杉矶时报》近日揭露洛杉矶海底巨型DDT废水桶“坟场”...  \n",
       "597                                                NaN  \n",
       "598                                                NaN  \n",
       "599  【住农家乐游客报案遭村民入室性侵，农家乐：不清楚他如何进屋】4月27日，贵州毕节。黄某报案入...  \n",
       "\n",
       "[600 rows x 14 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# XXP数分部分\n",
    "\n",
    "# 导入\n",
    "df1 = pd.read_excel('./res.xlsx')\n",
    "df2 = pd.read_excel('./comments.xlsx')\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
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       "      <td>2021-03-01 22:01:57</td>\n",
       "      <td>​菠萝之热最近中国台湾掀起了“凤梨热”，下到升斗小民，中到网红主播，上到官员民代，全台湾，吃...</td>\n",
       "      <td>2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/446790267</td>\n",
       "      <td>446790267.0</td>\n",
       "      <td>2021-02-28 04:09:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>空一格</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/2201313946...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1374427.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>428.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1759265901</td>\n",
       "      <td>2021-03-03 07:33:35</td>\n",
       "      <td>原本水果这种东西，只要产量比市场需求多出一点，就会造成价格上极大的波动。岛 本来是一个各种水...</td>\n",
       "      <td>2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/446790267</td>\n",
       "      <td>446790267.0</td>\n",
       "      <td>2021-02-28 04:09:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>厨房人类</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/bfa8cf70ed...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>116343.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>2475.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1759983073</td>\n",
       "      <td>2021-03-04 09:43:12</td>\n",
       "      <td>相信经过这么一件事，台湾那边不少人能深刻地体验到中华文化的博大精深，明白什么叫做：自  食 ...</td>\n",
       "      <td>2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/446790267</td>\n",
       "      <td>446790267.0</td>\n",
       "      <td>2021-02-28 04:09:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>风大　可稍息否</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/cec880bc57...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>247633.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1759035617</td>\n",
       "      <td>2021-03-02 23:28:32</td>\n",
       "      <td>曾有人说：“中华正统在台湾。”我记得这个正统里有一句叫做“民可使由之，不可使知之。”很多人解...</td>\n",
       "      <td>2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/446790267</td>\n",
       "      <td>446790267.0</td>\n",
       "      <td>2021-02-28 04:09:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>环球时报</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/a2939d9b48...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>817736.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>907.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1756154415</td>\n",
       "      <td>2021-03-01 13:02:19</td>\n",
       "      <td>继凤梨之后又传来一个消息，他们真的开始慌了据台媒报道，继中国大陆暂停进口台湾凤梨后，台湾高雄...</td>\n",
       "      <td>2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/446790267</td>\n",
       "      <td>446790267.0</td>\n",
       "      <td>2021-02-28 04:09:50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4580</th>\n",
       "      <td>4706</td>\n",
       "      <td>Jnship</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/7de60bf778...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>777.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>374.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1826159793</td>\n",
       "      <td>2021-04-09 16:26:18</td>\n",
       "      <td>上面大V答主的内容太详细了，算是火星形成简要史了。我在评论区看到有人以火星不在宜居带为由，指...</td>\n",
       "      <td>火星算不算是死亡了的地球？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/414845164</td>\n",
       "      <td>414845164.0</td>\n",
       "      <td>2020-08-17 11:23:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4581</th>\n",
       "      <td>4707</td>\n",
       "      <td>宇宙长</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/178ff64d9a...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34216.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1848062116</td>\n",
       "      <td>2021-04-22 09:34:23</td>\n",
       "      <td>哀莫大于心死！火星的内核已经冷却，无法再次燃烧，所以它死了。这导致的后果没磁场，没磁力线，引...</td>\n",
       "      <td>火星算不算是死亡了的地球？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/414845164</td>\n",
       "      <td>414845164.0</td>\n",
       "      <td>2020-08-17 11:23:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4582</th>\n",
       "      <td>4708</td>\n",
       "      <td>匿名用户</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1835010284</td>\n",
       "      <td>2021-04-14 16:58:35</td>\n",
       "      <td>水星:金星，快看，地球生病了，身上有虫子 。金星:地球，快看，你生病了，你身上有虫子，还长了...</td>\n",
       "      <td>火星算不算是死亡了的地球？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/414845164</td>\n",
       "      <td>414845164.0</td>\n",
       "      <td>2020-08-17 11:23:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4583</th>\n",
       "      <td>4709</td>\n",
       "      <td>房叔叨叨叨</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/697572ae1c...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8537.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1919648385</td>\n",
       "      <td>2021-06-02 23:41:05</td>\n",
       "      <td>如果之前跟地球一样有高级文明，为何没有发现文明建筑？也可能发现了不公布而已。 老美总是公布一...</td>\n",
       "      <td>火星算不算是死亡了的地球？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/414845164</td>\n",
       "      <td>414845164.0</td>\n",
       "      <td>2020-08-17 11:23:14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4584</th>\n",
       "      <td>4710</td>\n",
       "      <td>苦苦挣扎小兽医</td>\n",
       "      <td>https://www.zhihu.com/api/v4/people/6bef3c8df5...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>637.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>https://www.zhihu.com/api/v4/answers/1828209510</td>\n",
       "      <td>2021-04-10 20:53:34</td>\n",
       "      <td>感觉是。因为火星和地球极为相似。你看啊，人存在于地球也就几万年左右。对于太阳地球的几十亿寿命...</td>\n",
       "      <td>火星算不算是死亡了的地球？</td>\n",
       "      <td>https://www.zhihu.com/api/v4/questions/414845164</td>\n",
       "      <td>414845164.0</td>\n",
       "      <td>2020-08-17 11:23:14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4585 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0       作者                                               作者主页  \\\n",
       "0              0      江平舟  https://www.zhihu.com/api/v4/people/097e844fdf...   \n",
       "1              1      空一格  https://www.zhihu.com/api/v4/people/2201313946...   \n",
       "2              2     厨房人类  https://www.zhihu.com/api/v4/people/bfa8cf70ed...   \n",
       "3              3  风大　可稍息否  https://www.zhihu.com/api/v4/people/cec880bc57...   \n",
       "4              4     环球时报  https://www.zhihu.com/api/v4/people/a2939d9b48...   \n",
       "...          ...      ...                                                ...   \n",
       "4580        4706   Jnship  https://www.zhihu.com/api/v4/people/7de60bf778...   \n",
       "4581        4707      宇宙长  https://www.zhihu.com/api/v4/people/178ff64d9a...   \n",
       "4582        4708     匿名用户              https://www.zhihu.com/api/v4/people/0   \n",
       "4583        4709    房叔叨叨叨  https://www.zhihu.com/api/v4/people/697572ae1c...   \n",
       "4584        4710  苦苦挣扎小兽医  https://www.zhihu.com/api/v4/people/6bef3c8df5...   \n",
       "\n",
       "      是否为机构号      关注者总数   性别    评论数      赞数  \\\n",
       "0        0.0   162830.0  1.0  136.0  3514.0   \n",
       "1        0.0  1374427.0  1.0   34.0   428.0   \n",
       "2        1.0   116343.0 -1.0  137.0  2475.0   \n",
       "3        0.0   247633.0  1.0   21.0   183.0   \n",
       "4        1.0   817736.0 -1.0  101.0   907.0   \n",
       "...      ...        ...  ...    ...     ...   \n",
       "4580     0.0      777.0 -1.0   58.0   374.0   \n",
       "4581     0.0    34216.0  1.0   19.0    84.0   \n",
       "4582     0.0        0.0  1.0   19.0   169.0   \n",
       "4583     0.0     8537.0  1.0    4.0    13.0   \n",
       "4584     0.0      637.0  1.0   61.0   102.0   \n",
       "\n",
       "                                                 回答链接                 回答时间  \\\n",
       "0     https://www.zhihu.com/api/v4/answers/1757095989  2021-03-01 22:01:57   \n",
       "1     https://www.zhihu.com/api/v4/answers/1759265901  2021-03-03 07:33:35   \n",
       "2     https://www.zhihu.com/api/v4/answers/1759983073  2021-03-04 09:43:12   \n",
       "3     https://www.zhihu.com/api/v4/answers/1759035617  2021-03-02 23:28:32   \n",
       "4     https://www.zhihu.com/api/v4/answers/1756154415  2021-03-01 13:02:19   \n",
       "...                                               ...                  ...   \n",
       "4580  https://www.zhihu.com/api/v4/answers/1826159793  2021-04-09 16:26:18   \n",
       "4581  https://www.zhihu.com/api/v4/answers/1848062116  2021-04-22 09:34:23   \n",
       "4582  https://www.zhihu.com/api/v4/answers/1835010284  2021-04-14 16:58:35   \n",
       "4583  https://www.zhihu.com/api/v4/answers/1919648385  2021-06-02 23:41:05   \n",
       "4584  https://www.zhihu.com/api/v4/answers/1828209510  2021-04-10 20:53:34   \n",
       "\n",
       "                                                   回答内容  \\\n",
       "0     ​菠萝之热最近中国台湾掀起了“凤梨热”，下到升斗小民，中到网红主播，上到官员民代，全台湾，吃...   \n",
       "1     原本水果这种东西，只要产量比市场需求多出一点，就会造成价格上极大的波动。岛 本来是一个各种水...   \n",
       "2     相信经过这么一件事，台湾那边不少人能深刻地体验到中华文化的博大精深，明白什么叫做：自  食 ...   \n",
       "3     曾有人说：“中华正统在台湾。”我记得这个正统里有一句叫做“民可使由之，不可使知之。”很多人解...   \n",
       "4     继凤梨之后又传来一个消息，他们真的开始慌了据台媒报道，继中国大陆暂停进口台湾凤梨后，台湾高雄...   \n",
       "...                                                 ...   \n",
       "4580  上面大V答主的内容太详细了，算是火星形成简要史了。我在评论区看到有人以火星不在宜居带为由，指...   \n",
       "4581  哀莫大于心死！火星的内核已经冷却，无法再次燃烧，所以它死了。这导致的后果没磁场，没磁力线，引...   \n",
       "4582  水星:金星，快看，地球生病了，身上有虫子 。金星:地球，快看，你生病了，你身上有虫子，还长了...   \n",
       "4583  如果之前跟地球一样有高级文明，为何没有发现文明建筑？也可能发现了不公布而已。 老美总是公布一...   \n",
       "4584  感觉是。因为火星和地球极为相似。你看啊，人存在于地球也就几万年左右。对于太阳地球的几十亿寿命...   \n",
       "\n",
       "                                     问题标题  \\\n",
       "0     2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？   \n",
       "1     2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？   \n",
       "2     2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？   \n",
       "3     2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？   \n",
       "4     2021 年 3 月 1 日禁止台湾菠萝入境，对台湾的影响究竟有多大？   \n",
       "...                                   ...   \n",
       "4580                        火星算不算是死亡了的地球？   \n",
       "4581                        火星算不算是死亡了的地球？   \n",
       "4582                        火星算不算是死亡了的地球？   \n",
       "4583                        火星算不算是死亡了的地球？   \n",
       "4584                        火星算不算是死亡了的地球？   \n",
       "\n",
       "                                                  问题链接         问题ID  \\\n",
       "0     https://www.zhihu.com/api/v4/questions/446790267  446790267.0   \n",
       "1     https://www.zhihu.com/api/v4/questions/446790267  446790267.0   \n",
       "2     https://www.zhihu.com/api/v4/questions/446790267  446790267.0   \n",
       "3     https://www.zhihu.com/api/v4/questions/446790267  446790267.0   \n",
       "4     https://www.zhihu.com/api/v4/questions/446790267  446790267.0   \n",
       "...                                                ...          ...   \n",
       "4580  https://www.zhihu.com/api/v4/questions/414845164  414845164.0   \n",
       "4581  https://www.zhihu.com/api/v4/questions/414845164  414845164.0   \n",
       "4582  https://www.zhihu.com/api/v4/questions/414845164  414845164.0   \n",
       "4583  https://www.zhihu.com/api/v4/questions/414845164  414845164.0   \n",
       "4584  https://www.zhihu.com/api/v4/questions/414845164  414845164.0   \n",
       "\n",
       "                   问题提问时间  \n",
       "0     2021-02-28 04:09:50  \n",
       "1     2021-02-28 04:09:50  \n",
       "2     2021-02-28 04:09:50  \n",
       "3     2021-02-28 04:09:50  \n",
       "4     2021-02-28 04:09:50  \n",
       "...                   ...  \n",
       "4580  2020-08-17 11:23:14  \n",
       "4581  2020-08-17 11:23:14  \n",
       "4582  2020-08-17 11:23:14  \n",
       "4583  2020-08-17 11:23:14  \n",
       "4584  2020-08-17 11:23:14  \n",
       "\n",
       "[4585 rows x 15 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a73a619688>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GEgOA24HDfdfSRj0LXFBRXvat70JU7jToCoQ7XeQy7KZqB7/VtHnLgT8Cd+nR2cKgQVcAorFEb+zduQ7zXYvayNvAiIrystm+C1H106DLc9FY4sfAI0Bf37WotBYDp1SUl73quxCVmQZdnnKbqn/EnrGv9/bIbzXAX4DrdFM2P2nQ5SF3XbjR1Lm5tcp7L2Bbd3rp9zyjQZdnorHENtgje/rzrcL0KXB0RXlZhe9C1A90kyiPRGOJfYEP0ZArZDsDE9x7qfKEBl2eiMYSw4GXgW6eS1FN1wt4LRpLnOS7EGVp0OWBaCxxGDAO6OS7FtVs2gOPaNjlBw06z6KxRBn2Mt9BuVeD+kEYG3Yn+C6krdOg8ygaSxwPPI399lfBFAb+HY0l9Ai6Rxp0nrhNmsdp+Zs/K/8iwKPui015oEHnQTSWOB37awe9tFLbUQQ8Fo0ljvVdSFuk59G1MreiP4V+ybRV64CfV5SXPe+7kLZEg64VRWOJwcC76NHVtm4dcERFedlrvgtpKzToWkk0lugJTASinktR+WExMEyvfNI6dPOpFURjiSJgLBpy6gc9gaeisYReW7AV6M7w1nE7cIDvInI1966zCLUrhlAICYXpO/IWAJZPep4VH72ASJjiAbvT7cdnbfS69Uvmsui56zc8r1q2gK77nUqXPY5l3cJvWPLyHZjqdUgoTPdDf037fju06nzloWHYmxqdlW1A1TS66drCorHEhcBtvutoiLl3nUXfkTcTLind0K1y1lSS7z1G75/HkUgR1auWEe7YNeM4TE01c+8cSd/TbiJS2puFj11Jl92PpXjA7qz5eiLJD8ay2SnlrTE7heD8ivKyu3wXEWS66dqCorHEwdgb2BS8FZPH0WXvE5CIPe2vvpADqJz1MUVd+xIp7b2hW8261fb/2tWEO/VouWILzy3RWGIf30UEmbboWkg0logCk4DunktpsLl3n024gz0w3GnIEXQecjjzHryIkm33Zs3MSUikHd1+fBbt+26fcRyLx91Cuz4D6DLsaADWL57Dwsf/DBgwNWx26o0bhaBiHvbgxALfhQSRtuhazigKMOQANhtxA33PuJXeJ1zFio9eoHLOp1BTTc3alWx22j/oNvxMFj17PZm+JE31etZ8NYGOA/fb0G3FlHF0O/gc+p8/mm4H/ZIlL97aWrNTKPoBT7gDV6qZadC1gGgscTZwiO86GivS2W5Whjt2pWT7fVg770vCnXtSsv0+iAjt++2AiFCzZnna16/5ZhLt+gwg3PGHK06t/GQ8JdvbS7SVDNyPtfO/bPkZKTz7ATHfRQSRBl0zi8YS/YB/+K6jsWrWVVKzdvWGx5UzJ9Ou11aUbLc3lbOmArD++28x1VWEirukHceqaW/QcceNDzKHO3Vn7ZxPALf/rlu/FpyLgnZ5NJbY1ncRQaOnlzS/O4HSrEPlqerVy1j01LX2SU0NHQcdSPE2wzDV61ky7lbm3X8+Ei6iR9nFiAhVK5aw5KV/0ueEq+xL1ldSWTGFHodfuNF4exxxEUv/ey+mphqJtKP74Re19qwVig7AXcChvgsJEj0Y0YzcFUn+47sOFQinVZSXPey7iKDQoGsm7ide07CX0VaqqRYBAyvKy773XUgQ6D665nMrGnKq+fQCrs86lMqJtuiaQTSWOBJI+K5DBY4BDqgoL3vbdyGFToOuiaKxRAj4BBjkuxYVSNOAIRXlZet9F1LIdNO16U5DQ061nEHAhVmHUvXSFl0TRGOJdsCXwFa+a1GBthDYuqK8bI3vQgqVtuia5ldoyKmW1wf4te8iCpm26BopGku0B2YCfX3XotqEhcA2FeVlq30XUoi0Rdd4Z6Ihp1pPH+A830UUKm3RNUI0logAM9BLo6vWNRfbqtMjsA2kLbrGOQUNOdX6+gO/8F1EIdKga5zLfBeg2qxLfRdQiDToGigaS+wB7OS7DtVm7RKNJQ7zXUSh0aBruJG+C1Bt3rm+Cyg0ejCiAdwJwvMAvbOL8qkS6FNRXpb+Es9qE9qia5gyNOSUfx2A43wXUUg06BpGN1tVvjjZdwGFRDddc+QurDkP0Ls0qXxQBfStKC9b7LuQQqAtutydjIacyh8R4ATfRRQKDbrc6Waryje6+Zoj3XTNQTSW2B74wncdStVhgC0rysvm+i4k32mLLjcFezNqFWgCnOS7iEKgQZebA30XoFQGx/guoBBo0OVGg07lqz2isYQeJMtCgy6LaCwxEHstMKXyUTGwm+8i8p0GXXbamlP5bl/fBeQ7DbrsNOhUvtOgy0KDLjsNOpXvNOiy0KCrRzSW2A7o57sOpbLYPBpLbOm7iHymQVc/bc2pQqGtunpo0NVvF98FKJUjDbp6aNDVbxvfBSiVo718F5DPNOjqp0GnCsXWvgvIZxp09Yv6LkCpHPWKxhIdfBeRrzToMojGEn2xZ50rVSj6+y4gX2nQZaabrarQbOG7gHylQZeZBp0qNNqiy0CDLjMNOlVotEWXgQZdZhp0qtBo0GWgQZeZ/qRGFRoNugw06DLr7LsApRpIgy4DDbrMSnwXoFQD9fJdQL7SoMtMg04VGr2kegYadJlp0KlCo0GXgQZdZu19F6BUA2nQZaBBl5kuG1VoIr4LyFe6YFSr+XFo8tRrih6s7MeSAdibL6vmtR6W+a4hL2nQZaYfxGYQoqb6tPCrEy+NPN65s6zRC5m2rErfBeQrDTrVIopZu/rSyOMTTw+/snWRVO/tu542osp3AflKgy6zSqCj7yIKTW+WLrqm6IFph4Ym7RISvedGK9Ogy0CDLrPvgB6+iygUA2X2N38vumfezjJzD9GA80V30GWgQZfZAmBH30Xku4NDkz6+pmj0ur4s2V1EL4Tg2Xe+C8hXGnSZLfRdQL4KUVN9RvjlCZdEnijtJJW7+q5HbbDIdwH5SoMuswW+C8g3JVSuuizyn0kjwuO3KZLqfXzXozahLboMNOgy0xad04fvv7uu6IHpB4U+2jUkHOC7HpWRBl0GGnSZtfkW3SCp+PrvRffMHySz9tQDDAVBgy4DDbrM2myL7rDQxMlXF42u7sPSYSIM8F2PypkGXQYadJm1qRZdmOqqM8MvTbg4MrZbR6nczXc9qlHm+C4gX2nQZdYmgq4ja1bGIo9OOjn82oCI1Ozrux7VJJ/6LiBfiTHGdw15KxpLfA90811HS+jLkgXXFd3/xY9DU4aIUOq7HtVkC4gn+/ouIl9pi65+k4BDfBfRnAbLNzOuL7r3ux1ltv6CIVi0NVcPDbr6TSQgQXdE6IPJ8aJ/1fSRZcOA7XzXo5qdBl09NOjqN9F3AU0RprrqnPC4Cf8Xeap7iazVAwzBpkFXDw26+hVk0HVkzYrLI498dFL49e30AEOboUFXDz0YkUU0lpgPbOa7jlz0Y/H8vxXd98UBoam76QGGNqUK6Eo8ucp3IflKW3TZfQgc5buI+uwqX315fdGoRTvInD1F0CNvbc+HGnL106DLbiJ5GnRlofcnxYv+Jb0kORTY3nc9ypvxvgvIdxp02eXVfroIVet/GU5MuCjydM8SWTfMdz0qL2jQZaFBl9372H0gXpdVJ1YvvyLyyOSfh9/YPiI1P/JZi8ora4B3fReR7/RgRA6iscR/gYN9TLu/LJr3t8ioGfuFPt1NhC4+alB5bTzxZCDO9WxJ2qLLzVhaOeh2kxlfXF9075Lt5Ns9RejXmtNWBUU3W3OgQZebp4HbgVBLT+iY0DuT/lw0JtRTlusJvioXr/ouoBDopmuOorHEW8B+LTHuCFXrzws/P+GCyLO9i2Wd/jxL5epr4sltfRdRCLRFl7snaeag68yq5JWRh6f8LPzW9mE9wKAa7lHfBRQKDbrcPQXcDEhTR7SFfPdteWTUV/uGPhuqVxBRTfCI7wIKhW66NkA0lvgA2LOxr99dvpheXjRq6QCZt6eIfsmoJplMPDnUdxGFQj9sDTOWBgedMceH3p50RdHDkR6yYkiLVKXaon/7LqCQaNA1zBNAOTlsvhZRte6CyDMTzgs/v1kHWb97y5em2pAadP9cg+imawNFY4lxwBGZ+ndhZfIvRWOmHBd6e2BYTJ9WLE21HXqScANpi67hbiVN0G0lC+ZeXzTqm71kuh5gUC3tZt8FFBoNuoZ7BfgcGAiwh3w+/fqiUUu3lvl7idDfb2mqDZgOjPNdRKHRTddG2Cb2/K9/Gn7rzMsjj7TrLit39V2PalN+STx5n+8iCo0GXWPES0uA2UAP36WoNmUhsBXx5FrfhRSaFv/tZiDFk6uB23yXodqcOzTkGkeDrvFuA1b6LkK1GauBO30XUag06BornvweXfFU67mLeHKJ7yIKlQZd0/wVWOy7CBV43wPX+S6ikGnQNUU8mQSu8l2GCryriSeX+i6ikGnQNd3d2PPqlGoJX6G7SJpMg66p4skq4Pe+y1CB9QfiyfW+iyh0eh5dc4mXeruBjgqst4gnD/BdRBBoi675/A57VQmlmkMNdp1SzUCDrrnEkx8DN/ouQwXGzcSTeXXz9EKmP+pvXn8GyoCdfBeSr6prDLuPWsXmnUO8cEoJV75WybNfVBES6N1RGH1cMf06b/z9OydZw+nPrGHBSkNI4NyhRfzf3u0B+P0rlTz/ZRXtwjCge4gHjy2ma4cmX+3et+nAFb6LCBLdR9fc4qVDgQ/QL5G0bnpvLR/Oq2b5WnjhlBKWrzV0aW+D6Z8frGXaohruPqp4o9fMX1HD/JWGoX3DrFhrGHbvKp75RTGDeoV55esqDto6TCQk/OHVSgCuP7RDq89XM6oG9iWenOC7kCDRTdfmFk9+hJ7cmdbc5TUkZlRxztB2G7rVhhzAqnXpL93ct3OIoX3DAHRuL+zYK8S3y+0X9GEDIkRC9lV79w8zd0XB7ya9XkOu+Wmro2VcCxwN6M1LUvz2pUpuOKQDK9ZtvBXxp/GVPDR1PaXthf+NLKl3HBXLapg8v5q9+oc36ffAlPWctFNBr9KfoCegtwht0bUEe27d6YBeacJ54cv19O4oDOu3aUBdd3AH5lzcmRGDi7h9wrqM41i5zvCzx1dzy+EdNmoJAlz35loiIRgxuKjZa28l64GRxJOZF4BqNA26lhJPfgZc4LuMfPHO7Gqe+6KK6C0r+MWTa3htZhWnPrVmo2FOGVzE2OlVaV+/vtqG3IjBRfx0x43D7F9T1vHCjCoe+WkxIgV7IOJi4snJvosIKj0Y0dLipbejgbeR1yuquPHddbxwSgkzllSzXQ/byrvtg3W8MauKJ0/cePPVGMPIZyrpXizccvjGBxpe+qqKS16u5I0zSujVsWC/t8cQT57uu4ggK+gdGgXit8DOoDfMSSc2fi1fLK4hJLBV1xB3l9kgm7eihnOeq2TciBLemVPNmKnrGdw7xJC77SUA/3pwe47crogLx61hbTUcOmY1YA9I1D1qm+c+Bn7lu4ig0xZda4iX9gQ+BLbyXYrKK98BexBPzvZdSNAVbFu/oMSTi4HjsFeJVQrsgarjNeRahwZda4knpwBnAtqEVgZ7N693fRfSVmjQtaZ48nHg177LUN5dRDw5xncRbYkGXWuLJ+8BLvZdhvLmMuLJO3wX0dZo0PkQT96C/mi7LbqKePLvvotoi/Soq0/x0uuAy32XoVrF34knL/NdRFulQedbvPQmdFM26O4gnrzQdxFtmW66+hZPXoL+kDvIrtWQ809bdPkiXnomcC/6a5WgqALOJ54c5bsQpUGXX+KlhwFPAp19l6KaZBVwAvHki74LUZYGXb6Jlw4BEkA/36WoRlkIlBFPTvJdiPqB7qPLN/YXFPsAn/ouRTXYdGBvDbn8o0GXj+zvH/cCHvRdisrZQ9gf6Ff4LkRtSjdd8128dARwN9DJdykqrVXABcST//JdiMpMg64QxEu3Ax4DdvNditrIVOAk4snPfRei6qebroUgnpyB3W93m+9S1AZ3A3tpyBUGbdEVmnjpEcAdwNa+S2mjKoALiScTvgtRudMWXaGx52btBPwV0DtGtZ71wPXAThpyhUdbdIUsXjoQuAsY7rmSoHsL+LW7s5sqQBp0QRAvPQ24Eejtu5SAWQJcBjxIPKkflAKmQRcU8dJS4FLsXcf0VJSmSQK3ALcQTy7zXYxqOg26oGxRv/oAAAV8SURBVImX9gL+CJwHFNR9//LACuBW4CbiyaW+i1HNR4MuqOKlfbAtvPPQFl42K7Gn7txIPPm972JU89OgC7p4aQ/gfOAcYEvP1eSbOcAo4C53S0oVUBp0bUW8NAQcAZwLlAFhvwV5UwOMA+4BxhFP1niuR7UCDbq2KF66OXA2tpW3hedqWss84H5gFPHkHN/FqNalQdeW2VbecOBY4GiC92uLCuBZ4DngTeLJKr/lKF806NQP4qU7A8e4vz0B8VtQo0zChtuzxJNTfRej8oMGnUovXroZcCj2unh7AbsCRV5r2pTBXuzyHfc3nnhyrt+SVD7SoFO5iZd2wF4mak9s8A0DokC7VqpgHTALe2mkD7Ettw/1fDeVCw061Xh2H18/7L69aMr/KNAV6AiUuP8d2TQU12EvXJn6l8QG2kz3V+H+z9MjpKqxNOhU64mXRrDBJ8AqPTigWosGnVIq8PR6dCoQRMSIyJiU5xERWSQiL7TAtIaIyJEpz+MicmkLTGe4iOzb3OOtM43XRWT3lpxGPtCgU0GxCthZRGovZHAo8G1DRiAikRwHHQIcmXWophsOtGjQtRUadCpIXsT+vA3gZODR2h4i0l1EnhGRqSLyvojs4rrHReReEXkFeEhEeonIWBGZ6P5+lDoBEWkHXA2cJCJTROQk12uQax19IyK/SRn+GRGZJCKfici5Kd1Xish1IvKxq6dPnelEsRdkuNhN50A3bhGRriJSIyIHuGHfEpFtM81jnfEWi8h/3DCPkXKFGxG5S0Q+dLVe5bodLCJPpwxzqIg8JSJhERktIp+KyCcicnGub5IXxhj907+C/8NegWQX4EmgAzAF2yJ6wfW/DfiLe3wQMMU9jmNPVSl2z/8N7OcebwlMTzOtM4DbU57HgXeB9kBP7AU7i1y/7u5/Mfam5D3ccwMc7R7fAFyRZjpx4NKU5y9hL6N/FDAR+JOb5sz65rHOOC8BHnCPdwGqgN3r1BoGXnf9Bfgc6JWyfI7Gnl70asp4u/peB+r70xadCgxjzFTsqS0nY3+4n2o/YIwb7jWgh4iUun7PGWPWuMeHALeLyBTsT8e6iEjnHCafMMasNcYsBr4DaltovxGRj4H3sb8r3s51XwfU7j+c5OrO5i3gAPf3NzdPe2BDL9s81joAeNgNMxV7XmKtE0XkI2AyNlAHGZtiY4BTRaQr9m50LwLfANuIyG0icjiwPIf6vcl1n4RSheI57GXlhwM9Urqn+zlb7SkHq1K6hYB9UoIvV2tTHlcDEREZjg3OfYwxq0XkdWxrE2C9C5ENw+cwjbewm7P9gD8Dv8fO55uuf33zWG83Edkae/3CPYwxS0VkdEqtDwLPA5XAE8aYKmCpiOwK/AS4ADgROCuHefBCW3QqaB4ArjbGfFKn+5vACLBHM4HFxph0rZBXgAtrn4jIkDTDrAByaeWVAktdyA0E9s7hNfVN5wPswYkaY0wldvP8V9gAhNzmMXWYnbGbpwBdcCdsu/2FR9S+wBgzD3v1lyuA0e61PYGQMWYscCUwtIHz1qo06FSgGGPmGmNuTdMrDuwuIlOBcmBkhlH8pnY4EZmGbUHV9T/swYfUgxHpvIRt2U0FrsFuvjbE88Dxbjr7G2PWYi8WWjuet7BBWBvqcbLP411AJzfMZcAEAGPMx9hN1s+wXxbv1HndI8AcY8w093xz4HW3iT8ae/n+vKUnDCulshKR24HJxpj7fdfSGBp0Sql6icgk7Gbtoa5VWXA06JRSgaf76JRSgadBp5QKPA06pVTgadAppQJPg04pFXgadEqpwNOgU0oFngadUirwNOiUUoGnQaeUCjwNOqVU4GnQKaUCT4NOKRV4GnRKqcDToFNKBZ4GnVIq8P4fW/oxW+49PS8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1.3 停留时间\n",
    "\n",
    "def stayTime(row):\n",
    "    if row >1:\n",
    "        return '两天及以上'\n",
    "    else:\n",
    "        return '一天'\n",
    "time_count = df1.loc[:,['标题', '是否为时政']].value_counts()\n",
    "time_count_df = pd.DataFrame({\n",
    "    '计数': time_count,\n",
    "    '是否超过两天': np.array(0*time_count.size, dtype='int32')\n",
    "})\n",
    "time_count_df['是否超过两天'] = time_count_df['计数'].apply(stayTime)\n",
    "time_count_df = time_count_df.reset_index()\n",
    "time_count_politics = time_count_df.loc[time_count_df['是否为时政'] == '是']['是否超过两天'].value_counts()\n",
    "time_count_politics.name = ''\n",
    "time_count_politics.index = ['One day', 'More than two days']\n",
    "time_count_politics.plot.pie(autopct='%.2f', title='A comparison of the time spent on political topics')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a741d2e848>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_count_not_politics = time_count_df.loc[time_count_df['是否为时政'] == '否']['是否超过两天'].value_counts()\n",
    "time_count_not_politics.name = ''\n",
    "time_count_not_politics.index = ['One day', 'More than two days']\n",
    "time_count_not_politics.plot.pie(autopct='%.2f', title='A comparison of the time spent non-political topics')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "一天       82\n",
      "两天及以上    65\n",
      "Name: 是否超过两天, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a741cc38c8>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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2q1k8m4VPX792vnbpPHrvfiK9djycNfO/ZvELt2Hq1iCREvqOPYcug7bq0HgVGAuA0ZUV5XN8C+koQmUAsXhyK2Ay0MO3ltYy+45TGXjy3yhxiR1g6VsPIJ26UbbTUVntw9TXMfv2kxn4q/8hWrYh8x+5il5jDqfbkDGsmvkBqfceZ8DxFfmKQlB4B9g7LE2GQ1MH4Prve5AAJv5cUf3tNDr1Hki0bMO1y+rXrLS/q1dS0rOfL2mFxK7Af/sW0VGEJgcQiydvxPbXH0hm33kaJV3tMAM9Rx1M6aiDbBHg41eIdOlO5wFD6bPv6WvDZGLRczfReaMh9NrhMABqFs1i/virAQOmngEn3rieOYScYysrysf7FpFvQmEAsXhyLLaNf2AbfdQuX0y0tB91K5Yy/5Er6Tv2bDr1HUykWy8QYenE+6mrWkL/Qy7KuL2pq2H2bScz6LTbKOnRB4AlL/+dLpuMoMdWu7His4lUTZvARr+8tiOjVcgsB3asrCj/3LeQfFL0RQD3dd+9BDjxA0RLbfa8pEdvum+5C6u//4KSHn2QSAkiEUq3O5A1c79ocvtVX0+m80ZD1iZ+gKqPX6H7lrsC0H3r3VndzPYhpBR4wn0aXrQUvQFgx54f6FtEe6hfU0396pVr/1d/M4XOG2xGbdWStWFWfvEunfpv1uQ+Vsx4gx7D9lxvWUnPvqye9THg6gf6DMqD+kAzHLjKt4h8UtRFgFg8eR5wq28d7aVm6TwWPvEXO1NfT4/he1G267EsevavrJn/NYgQLduQvgeeT7RnX2qXL2bxhP9lo6NtJzj1NdXMuf0UBp/9TyJd1tWBVs/+lB9e/gemvg6JdqbvAefSZcBQH1EsZGqA7Soryj/zLSQfFK0BxOLJIcAnQFffWpTA83plRfk+vkXkg2IuAvwNTfxKbtg7Fk+e6FtEPijKHEAsnjwIeN63DqWomA9sVWzDjxVdDsD19BLar7uUvLERduj3oqLoDAC4AAh1g3Ylb5wTiyd38C0ilxRVEcD17jMT6Otbi1K0fADsXFlRXu9bSC4othxAHE38Sn7ZEfiFbxG5omhyALF4cjDwJdDNtxal6PkY2zYg8ImnmHIAV6OJX+kYtqVIepMqCgNw7f1P8q1DCRVX+haQC4rCAIAz0EY/SseyfSyePNi3iPYSeANwgzuc41uHEkoC279EA4E3AOAIdFAPxQ/7xeLJ7XyLaA/FYAAX+BaghJpLfAtoD4F+DRiLJ0cC03zrUELNGmCTyoryBb6FtIWg5wD06a/4pjNwtG8RbSWwBhCLJ/sCJ/jWoSjAsb4FtJXAGgBwItrwRykMdnctUQNHkA3gCN8CFMUh2OHGA0cgDcB99aej+iqFRCCLAYE0AOBgIOpbhKKksVMsnoz5FtFagmoAP/MtQFEyELhcQOAMIBZPRoGDfOtQlAyoAXQAewK9fYtQlAxs77qjDwxBNIDDfAtQlGYIVOW0GoCi5JZdfAtoDYEygFg8uQUQqCyWEjrUAPLIGN8CFKUFtonFk718i8iWoBnAKN8CFKUFIsBPfYvIFjUARck9gSkGqAEoSu4JjAEEpkOQWDw5AJjrW4eiZMEPQL8gjBsQpByAPv2VoNCHgIxPqQagKPlhS98CskENQFHyw8a+BWRDkAwg0N0vK6FDDSDHxHwLUJRWEIixKgJhALF4sgwd+ksJFpoDyCEDfAtQlFaiBpBD1ACUoBGIXoKDYgAb+hagKK2kmxu2vqAJigH08S1AUdpAwRcDgmIAgfm8UlHSKPicqxqAouSPzr4FtERQDKDMtwBFaQMFP3ZFUAxAxwBUgkgn3wJaIigGsNq3AEVpAwVvAAWfRXGs8i2g2NhJZsy4vNMji0bJzC0E08W3nmJkBV3qYL5vGc2iBhAi+rN04UXRx2f8ouTNQV2lZrhvPcVOKdW+JbSIGkCRU0Jd7c9L3vzowuiTDGbR9iLs5VtTiKj1LaAl1ACKlOFSOTMefWj2bpFPhpeICUwvtUVGnW8BLaEGUESUsiJ1bvTpaSeWvNyvVFZtgw6i4pulvgW0hBpA4DHmoMj7Uy6NPlY9VOZsL8KevhUpa1ngW0BLqAEElM1k3uwrog/PPCDy4ZCo1I/2rUfJSGG/AkANIFB0ZfWqU0omfHR69LnufVk+SqTwPzYJMbXAEt8iWiIoBvC9bwE+2T3y8Se/jT7yw0j5ejsRdvOtR8mKhSRSBT8uQFAM4EvfAjqajViy4JLoozOOKHl70y5SO8K3HqXVFHz5H4I1MtD3wEDfOvJJlNqaX5a8Nvnc6L8jA1kyWiQwBq38mBdJpA70LaIlgnSDfUmRGsB28tUXV0Qfnrtz5LNtImJ29q1HyQmBKLYGzQCK5hVXGVVLL4g+Nf24klc27CGrtyYgI8koWfOpbwHZEDQDCDRCff2hkUkfXRx9rGZzmTda39kXNR/7FpANQTKAL3wLaCtDZM638ejDlftEpmwZlfoxvvUoHYIaQI4JVA6gO9UrTi9JTjk1OqG0t6zYDtjMtyalw1hCIqV1ADlmJmAA8S2kOfaJTJl+WXT8suHy7SgRdvetR/FCIJ7+ECADqKwoXxWLJ78CtvCtpTGDWDT3sk7jPz80MinWWWpH+tajeEcNIE+8RoEYQGdqVp9Q8vJHZ0ef6bQhS0eLFOcrSqVNqAHkiVeBM30KGCOff3Z5p4cXjJHPR0aEXXxqUQqWt30LyJagGcBreKgH6Etq8W+iT35ydMnrA7rLmmHAsI48vhIovieRCkQbAAhQU+AGYvHkdGDbfB8nQn3dkZG3Prow+kTdprJgtEjhD/KgFATjSKRO8i0iW4KWAwBbDMibAWwl330Tjz703Z6R6VuXiNkxX8dRipaXfQtoDUE1gN/kcoc9WLX8nOjTU08qeal3L1m5LbB5LvevhAo1gDzzBrazxZL27caYAyKTp10aHb9iS5m9vQh75EKcEmpmBKUBUAOBM4DKivJULJ6cDLSpp9tNZMGcy6MPf3lQ5IMhnaRuVI7lKeHmJd8CWkvgDMDxIq0wgC6sqT655MXJZ0af7daPZaNEGJxHbUp4eca3gNYSVAN4CLiypUA7Rz6dcXn0kUXby1falZaSb+ZgX1MHisC9BmwgFk9OAX6Uhe/P0oWXRB+bcVTJxMFdpWaoB2lKOLmBROoK3yJaS1BzAAD34wyghLrao0vemHx+9CkZzKLROvyV4oFxvgW0hSAbwIMj5Jszrog+NG+3yKfDI2J28i1ICS3TSKQ+8S2iLQTWACoryueSKJsJHOJbixJ6Avn0B4j4FtBO/s+3ACX01AMP+hbRVoJuAM8SkN5XlaIlSSI117eIthJsA0ikaoF/+pahhJobfAtoD8E2AMstwArfIpRQ8g6J1Fu+RbSH4BtAIrUI+LtvGUooCfTTH4rBACw3Aqt9i1BCxWfA075FtJfiMABbCXOXbxlKqLgxCKP/tkRxGIDleqDGtwglFMzBtkQNPMVjAInUtxTJRVEKnj+TSK3xLSIXFI8BWK5F6wKU/DKdInr1XFwGkEjNBP7qW4ZS1FxEIlXnW0SuKC4DsFwLfOdbhFKUPEUiFbhv/puj+AwgkVoJXOpbhlJ0rAEu8y0i1xSfAQAkUo8RsN5ZlYLnZlfELCqK0wAsF6CvBZXcMBf4i28R+aB4DSCR+g/wN98yCpW6esP2f6/i0AdXrrf8xndWI39axqKV9T/aZlaqnn3uXcGw26rY5vYqbp607oXLb1+sZutbqxh5RxVHPrKSpdWBbyOTzqkkUst8i8gHxWsAlj8CgeypJd/c/N4ahvVf//LPStXz0te1bFqWeejFaAT+ekBXPjuvJ5NO68FtH9QwY6GtEB87JMon5/Zg+jk92bJvhOsmFs3b2DtIpCb4FpEvitsAEqlq4Dig2reUQmL2snqSX9Zy+uj1hzu8+IVqbti/a5Mjrw4sjTB6oB2PpbSLMGyDCHOW2Sf9AUOiRCN2y503LmH28h/nIALIFxRhxV86xW0AgOurragvYmu5aIJN6JG0lP705zUMLo2w3YDsBlyqXFrPlLl17LTxj8PfNbWGg4cGtre5BmqBX7m3SkVL8RsAQCJ1G0Xw5VYuePaLGjbsIewwaF3CXVljuHbiaq7Zp0tW+6haY/j5+JXcdFBXenVZP79w7ZuriUbghG075VS3B64lkXrft4h8E9hxAVpNoqwfthnnIN9SfPK7l6sZN72GaASqa2HZasPBW0SZ+G0d3V2anb3MMKhUeP+MHgzouf4zoqbOcOhDKzlwSJRLdlnfMO6duoY7J9fwyknd6d6pqYJEIHgf2M31OFXUhMcAABJl+2GHFQtHzqcFXq+s5cZ31vDs8d3XWx67aTkfntmD/t3XP03GGE5+qpq+3YSbDuq63roJX9VyyQvVvPHr7mzQI9CndyEwhkQqFK1JA32lWk0i9QoQ9y0jSHy/vJ5DHrDF4Ldn1TFueg2vflPLqDurGHVnFc99aZtanP/cKpavMYwdt5JRd1Zx9rOrfMpuKzXAL8KS+CFsOYAGEmV3Amf5lqEUHOeRSN3uW0RHEq4cwDrOA4r23a7SJm4JW+KHsBqA/ZzzGGyloKI8A1zkW4QPwlkEaCBRtgnwHjDQtxTFG5OBvUikQtm1fDhzAA0kUrOAQ4GibOettMgU4ICwJn4IuwEAJFIfAWOBpb6lKB3KVGB/EqklvoX4RA0AcC2+9gNCfTOEiGlo4gfCXgfQmETZSOAVoL9vKUremA7sSyK12LeQQkBzAOkkUtOBvYH5npUo+eFjYD9N/OtQA2hMIvUp1gR02PHi4nVgbzeWpOJQA8iE7U1oJ+wrIiX43IWt7Q99mb8xWgfQHImybsDdwLG+pShtoh74HYlU4EfxzRdqANmQKPsD8GdosrMcpfBYAZxIIvWUbyGFjBpAtiTKDseOPdjTtxSlReYAh5FITfEtpNDROoBsSaT+DewCfOlbitIsTwLbaeLPDs0BtJZEWXfgBuBctEhQSKwAfkMi9S/fQoKEGkBbSZSNxdYub+xbisL7wAkkUl/5FhI0tAjQVhKpl4BtgXG+pYSYOuyIPbtp4m8bmgPIBYmyI4G/Axv4lhIiPgTOJ5F6z7eQIKM5gFyQSD0JbAXcin0qKfljAXA6sJMm/vajOYBckygbAdwM7OtbSpFRizXYBIlUyreYYkENIF8kysqBCmCEbylFwEvYGv7PfAspNtQA8kmiLAKcDFwNxPyKCSQvAdeRSL3mW0ixogbQESTKSoBfYMcoHONZTaFjsI15riOR+tC3mGJHDaCjSZTthTWCcrQhUTo1wAPA9e5rTKUDUAPwRaJsa+BS4Higewuhi5mvgfuAu1wnrUoHogbgm0RZD+AIrBEcAAR+XO0sWA48CtwLTCSR0pvQE2oAhUSirD9wNHACsCvFVUSoxfbKcy/wBInUSr9yFFADKFwSZZsBP8O2J9gL6ONXUJv4Bjsa8wvAq/r+vvBQAwgC9nXi9lgz2BfYncLsl2AZ8AYNiT6R0k+nCxw1gCCSKItiDWEEsE3atEkHqpgDfIrtZnuym77S8nywUAMoJhJlpcBwNw3GfpzUP+234X/XDFvXu6kO+AGYlzbNTfs/C/iMREpHUioC1ADCSKKsE7bBTT2JVL1vOYo/1AAUJcTo58CKEmLUAJScISJGRMalzUdFZKGIPJuHY40SkUPS5hMiclkejrO3iOya6/02OsbrIuLlGxE1ACWXrABGiEg3Nz8W+7Yga0Qk25aQo4BDWgzVfvbGNsoqStQAlFzzPPZDJ4DjgIcaVohIXxF5SkSmi8gkERnplidE5B8i8iJwn4hsICKPi8gHbtot/QAi0hm4BjhWRKaKSMPITcPd0/RrEbkwLfxTIjJZRD4VkTPTlleJyLUiMs3p2ajRcWLA2cDF7jh7uX2LiPQWkXoR2dOFnSgiQ5uKY6P9dhORh12YR4BuaevuEJEPndY/uWX7iciTaWHGisgTIlIiIveIyCci8rGIXJztRVqLMUYnnXIyAVXASOAx7KvGqdgn6LNu/S3AH93/fYGp7n8C246gm5t/ENjd/d8U+CzDsX4N3Jo2nwDeAbpgX3cuBjq5dX3dbzfgE6CfmzfAYe7/DcCVGY6TAC5Lm5+AbXNxKPAB8DKbu6QAAAKkSURBVAd3zG+ai2OjfV4C3OX+j8Q2kx7TSGsJtun0SGyT8P8AG6Sdn8OAHYCX0vbbu7XXTHMASk4xxkzHdn5yHPBco9W743pRNsa8CvQTkTK37mljzCr3f3/gVhGZCjwN9BKR0iwOnzTGrDbGLML2HdjwRL9QRKYBk7CNpbZwy9cADfUTk8mu05aJwJ5uus7FaUesGbQUxwb2xI4y1XC+pqetO0ZEPgKmYI1muLGpexxwooj0xg5Q8zz2S8qfiMgtInIQtiVmqwjDl2dKx/M0cCP26d8vbXmmj5sa3kOvSFsWAXZJM4RsWZ32vw6IisjeWEPZxRizUkReZ11DqBqXuNaGz+IYE7HFgkHYnp5+i43nm259c3FsdpmIbI7tK2JHY8wPInJPmta7gWeAauBRY0wt8IOIbAccCJwHHAOcmkUc1qI5ACUf3AVcY4z5uNHyN7FfOuIS5iJjTKan1ovA+Q0zIjIqQ5jlQDa5gjLgB5f4twZ2zmKb5o7zHrZSsN4YU40t5pyFNQbILo7pYUZgs/kAvbBGmHL1EQc3bGCM+R74HrgSuMdt2x+IGGMeB64CRrcybmoASu4xxsw2xtycYVUCGCMi07Edpp7cxC4ubAgnIjOwT9zGvIat9EuvBMzEBGxOYDp2hOdJ2cbD8QxwpDvOHsaY1djm0A37mYg1iAazS9ByHO8Aerowl2NHNsIYMw2b9f8Ua6JvN9ruAWCWMWaGmx8MvO6KSvcAv2tl3LQloKIEBRG5FZhijMnZ+IdqAIoSAERkMrZ4MNblQnKzXzUARQkvWgegKCFGDUBRQowagKKEGDUARQkxagCKEmLUABQlxKgBKEqIUQNQlBCjBqAoIUYNQFFCjBqAooQYNQBFCTFqAIoSYtQAFCXEqAEoSoj5fyWfEElvWCxbAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.4 停留时间与提问者类型的关系\n",
    "\n",
    "organization_time_count = df1.loc[:,['标题', '是否为机构号']].value_counts()\n",
    "organization_time_count_df = pd.DataFrame({\n",
    "    '计数': organization_time_count,\n",
    "    '是否超过两天': np.array(0 * organization_time_count.size, dtype='int32')\n",
    "})\n",
    "organization_time_count_df['是否超过两天'] = organization_time_count_df['计数'].apply(stayTime)\n",
    "organization_time_count_df = organization_time_count_df.reset_index()\n",
    "time_count_organization = organization_time_count_df.loc[organization_time_count_df['是否为机构号'] == '是']['是否超过两天'].value_counts()\n",
    "print(time_count_organization)\n",
    "time_count_organization.name = ''\n",
    "time_count_organization.index = ['One day', 'More than two days']\n",
    "time_count_organization.plot.pie(autopct='%.2f', title='Duration of stay of organization number')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "一天       187\n",
      "两天及以上     98\n",
      "Name: 是否超过两天, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a741c660c8>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_count_nonorganization = organization_time_count_df.loc[organization_time_count_df['是否为机构号'] == '否']['是否超过两天'].value_counts()\n",
    "print(time_count_nonorganization)\n",
    "time_count_nonorganization.name = ''\n",
    "time_count_nonorganization.index = ['One day', 'More than two days']\n",
    "time_count_nonorganization.plot.pie(autopct='%.2f', title='Duration of stay of nonorganization number')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a741bd96c8>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1.4 上榜速度\n",
    "\n",
    "def parse_time(row):\n",
    "    timeArray = time.strptime(str(row), \"%Y-%m-%d %H:%M:%S\")\n",
    "    timestack = int(time.mktime(timeArray))\n",
    "    return timestack\n",
    "def parse_timerange(row):\n",
    "    timerange = int(row / 60 / 60)\n",
    "    return timerange\n",
    "df_temp1 = df1.loc[:].dropna(subset=['进入热榜时间', '问题创建时间']) # 去nan\n",
    "df_temp1['进入热榜时间戳'] = df_temp1['进入热榜时间'].apply(parse_time)\n",
    "df_temp1['问题创建时间戳'] = df_temp1['问题创建时间'].apply(parse_time)\n",
    "df_temp1['时间差'] = df_temp1['进入热榜时间戳'] - df_temp1['问题创建时间戳']\n",
    "df_temp1['格式化时间差'] = df_temp1['时间差'].apply(parse_timerange)\n",
    "df_temp1['时间差分段'] = pd.cut(df_temp1['格式化时间差'], range(0, 100, 10))\n",
    "df_temp1['时间差分段'].value_counts(ascending=True).plot.bar(title='Segmented statistics of time difference from issue to hot list (unit: hour)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a741b28ec8>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lNCUiNpvY63zK2+FI55kP1uGpPEptYxO/em0RV44ZxuYDlRyursEQISctlRsmmCtUVfUNPL/qY+6adjE1DU08uWw1AH6luGBAH0YGlr5f/3gz+0+cRIDc9DPXh4jXnjptpT1lYjRy4SYB38Z8T7WLUurvUfCjUwIb/+ZF+j5acFpQUVr+OWI0T2rH8b2s3Psxv3vvb7jsTn56+d2M7z2qSzYeeu9vvLjhLTJdGTz35T+F5IfDcNX6fB0LzlcubdsqfdKQ9muTZaemcNc0c3Sfn5HGvVe1P+C4adL4UFxtj2Z7avEae8r4yeEyGAS/nju77Nl7Hi8+GMV7xix6ShUgkAX+iNV+dITX76OqsZpXb3mcn8z4BnfP/zldLYB//7SvsfLuF7l+9BU8uealkPxwGCnxWte40Z525Tp7yvhLonzfdODnUb5nzKIFJ4AX33eBIVb70RG9M3vw6eHTEBEu6DMaEYNj9VUh2bpu9Kd4c+vZKTbB4YzPusb1jvRr1ttd51kVLL0ryL05CY8WHMDtdvd40vXut5bYNy7x4ovJur1XDZvKst1rAdhxbC/NvmbyUoPPtth5bO/p3xduX8bQvNBKMDuNlHgrM1rrSL92s805cqKFPtiB31h4/5hB96UC3G73/wDfBBAl+yZ6i3aN8w2YLBbtib3n1V+wfM86jtVXUZCWx72XfZXPn3cVP3jzQT45vB2nzc5PL7+bKQMncLD6CD986yGeDqxMtXftjefP5Osv/xTPsb0YIvTLKuQ3V91L78weXfZtReUbq3bVbIiXVjjVjozrd9ocg9tdbraAS+95vHi51U5YSdILjtvtHgRsxVzGPI1d2TZd3jymcaC/R9gilonAuqOL3t96cnU0g66hUuXIuKHC5hgQSzWny+95vDiSS/Exj55SmblSbZISveIbtdD58fh/u5auPCY1Oy3wKyaJk7rGx5yZs/bHmNgATJ07u+xaq52wkqQWHLfb3RM4Z4nIWmm8+CXniv6vOVe/V0/TkSi5FrM4jdT2spdjiUpn5k1HDXvfru0ZiB6Wbiq1mqQWHOC7mMl250awHzKqpv3LVe5c4vgkZgPL0cBppMTwHFwOOjNvqTbshcOs9uQcjJ87u6zYaiesImkFx+12Z2HWDQkeIWub7eD0p1xLjn5o27VMkXwBMKctJUaz52W/M+vWRsPeI2a3NrTgXqsdsIqkFRxgNiFW8VOi+q52eKY85VqyebdR+WHnVyQOjpisa2zsdWbd7jds+QOt9iQolLryuS/M6aBGR2ITg2+eyON2uwX4r+7aaRFYXnVUqneEwbWYxyGxVtfY2OXKusNu2HL7We1Jpyh1Iu/YxiWXrHQfHPvJE9/uyqVndXi4PNDd4dRPg4hcFzivyx0eROR3gU4Rm0Tkz4HaxxHp8JCsuVTFhHFXca00XvSyc6W3p8p+74qmcaNTcXat7kMcYTc6r2scPWyeX7/x/uBU1wbDEANDbNz/hcdanVHfWMNTZb/leM1hfMpHybgvcenIqwF45t2H2bB7OZmpOfzkS5ErC2P4mrb3r1h8YNDutybY/E2nymHcsmnkqPtHbd5Ue86Lz9Cyw8NiYDyAiOQB2zlTLP1UV4ZnReRxzK4Mj7Vjj8D1kzGLfZ3aq7QUmA6825EtpdQ8ETmEWdyrS8TQmyeqfC3sFgX7Yama9i9X+cmh/sIllzWPvNiOrfOAdJxhE3tXOxNECPtWV/adeYasML4zcw4ZHey6fu+T+RTmDmT2px+guv4Ev5p3OxcNK8Fuc3DJ8KuYPuZzPL34ofC7p5Q/pfHY6qHbX3T0PPLRBZiF0VuShdm9869BWrwZuKmd4zcA/1FK1bXoynDqvKcAN+cQHMyaximAE7OEgAM4FKKtTkk6wXG73flEsjWGkLXddnC6xzi4f4J3yNrzfYMs27EcCYwg6hpHHscmV/ZdhWKktl+joyUiNDbXo5SisbmeNFcmRqDV1NA+4zhaHeYkbqWq8o5v/nD4tnlD0uorO8vdupMgBKe9Dg8tuJEzScdd7sqglPpARBZj9sUS4FGl1KZQukUEQ9IJDmbrjIh/aJTQZ7VjR58P7bs2z2geUz/I37Nt3YY4xBCLR23i3ODKuqu/GCnZACLCo2/+EEGYMmoml42e2er06WOu468LfspPnvkSDU113PGpn2EE3W4qeAxfs6ffvsX7B+/6z4Utpk2dcdGmkaOGjtq8aXsn57Xp8AAgIr2BscCCU4faufacK6kiMhSzvOmpGNhCEZkGbOqqrWBIRsG5OZo384p/5DvO9aQr16orm87Py1eZke11EmGMMJQZDRlJ+ciVfecQEdfpkn/f+9yfyEkvoLr+OI++/kMKcwYwtM+Z1KlNFavolz+Ub8+cw5GT+3n0jR9S1Hssqc70dm/RJZTyuxqPrR62/SVHzyMfXgCE8n97E51vBuyow8OXgJeVUqeqyp/uyhAYmQTTleF6YLlSqgZARP4DXAKUh2CrU5JqlcrtdvcHLMkaDgSWB813riqvo7HSCh/Cg4ThkxrKbVPXurK/Nqyl2ADkpJvx+czUXMYNvoxdlZtbXbZ8ywLOH3wZIkKP7L7kZxZy6MReuoVSVbnHNi+5ZOUv9k1Z/t8XB8QmVNqvFdvqdq07PLTgy8C/W5zX5Q4PwB5guojYRcSBGTDeFKkOD0klOJhqbh2CrdI4OfX/uZamLHZsWOLFF3e1ZUQknfabs0XwpumrXdlfGy3iaDW6amyup6Gp7vTvmytW0yd3UKtLczN6smXfOgBO1h3j0Im9FGSG0gbcnDYN2LPwvenl37df8PH/TE+rr+wfkqHWjNo0clQwaRgtOzwgIoOA/rTtHd7VDg8vAB5gPfAR8JFS6rVObIVMsk2pPm+1AwAImR7boek7jEMHLvQOWTPeDCzHjfg7xFnTrJqyonIzI3OlK+uO8SK2Nqtj1fXH+dsCs5ieT/mYOLSE0QMupnyj+XmZOvparr7wKzzz7u944Pm7QCk+N+lrp1e0/vHOr9l24CNqGqr46TOzuGbibUweeU3rmyjldzUeXz3M85KjZ+W6UKdNnfF5zA6v5+J0hwfTLbWLdoK4Xe3wEFhmb3dPWiQ6PCRNeQq3210AHARibOMa2JURV4Hl1/b85UCdrzq0YUIXECP7A2fW7RNFbJ22GA47SlXlntjy4Yit8wan1R8OrVpZ8KwZtXlTp1N9EbkDeCogEpYR6PDwc2CNUuqWrlybTCOczxCDYgNnAstpgcByQYwHlh1GSj2+6ojeQ4y8Zc6sWy8RMaL6f2b4mz19K5bsG7LrjQldWG3qLhduGjmqx6jNm84Z20uEDg/JJDiXW+1AZ9RJ40WvOFf6eqis8iuaxo1Mw9X1knxRwGlLaSC83XZbIbYeS52ZX5ksEqVppjltWjPU87LRs3LthRKZadO5EMz353NRvm/USSbBmWG1A0Eh2Crl5NT/51paM8Tfa8nU5lEXObBZtxTdDk4jNWJ1jcXW+z1n5o1TT+XzRBSlqnJPbP1w+NZ5g9LrD1ldNvVTaMFJDNxu90AgPjKJTyFk7LAdmr7TOHTgAu+QtRfEUGDZZaQ0RcKuYe+/xJn5xW5PY47XHObpxQ9ysu44IsKUUZ/h8rFfOP28+Jt37Fvzt+o/ffjy+f0cjukAV2RkcneBucT+1LFjvFB1AgGGu1w8UNgblxH+P72CE0ey2LquSOrLxxhDXgj7HWKPpBAczL0FcYkSeq917Oj9sX3XlmnNo2uH+HtdaLVPTluqt/OzuoZhH/yuM/P6GWGxJTY+f8ls+vcYTkNTHQ+9NJuRfS9Ug9JyVg/1vGTrWbn2glV1tTIxNZXH+rVe2T7U3MwzJ47z2qDBpBgG39u/jzerT3J9dk63/VJwvDKbrWuLpLH8PKPX9j4MUyKnV4HGPjW21/rb1h/q9o1iGC04cYJX/CPKnBtYrrauvrLp/JwClXV2MmDUcBnhrWtsOIa968y4dka47GWn55Odng9AiiP1ZIEzvTl/zR+9UxzeoKZNPqVoUAq7UjT4/fS0h7ZI5oejlTlsWzNUmsrHGIWe3gxDZNI5LrkMeDEY2yKSCrwFFCulfCLiw9xLA7BHKfXZwHmDgWeBPGAtcItS6pwjVBEZADyBuc9HAdcopXZ1ZCuwavUAsFkpNbMju5A8gmNVA7SwUydNE19xrvIVqMzyK5rOH5GOq2e0fXDawlfX2HCOfteZfvWMcNk7hfibd/bb995ex9aXJhw/viPrsuzBnL1I+WF9Pdfv2kkPu537evRkmMtFL4eDr+blUeLZTophMDktnSnpwW2u9sORwzlsXz1MmpaOMXrvKGQoIl3p9DmZIAWH1uUqAOqVUu11GOlSuYoATwMPKKUWikgGZzZ6drtcRcILjtvtdgIjrfYjrAi2I1I99d8WBZadRntpPV3H5jp/iSOtZEZYjAEopVxNJ1YP9bxs9Dy85sI6v3/wbXt386OevciwtRab0a4U3ikaSrphsKSmhm/tq+CtIUVU+XyU1dSwcEgRmTYb39u/j1erqvhsdtvyF36h8pApMM1Lxxh9d/ZiCGaWdaic34VzOypXcZpQSkyIyGjArpRaCNAixyos5SoSXnCA0STq6zwTWD443jd47YXewVEJLDsNV3dXkJTNNaHckTY9PFNdpU7mVG37cMTWZwem15mrTc1K8d19+5iZlc0VmZltLmkpQNMzMvjVoYMc93pZUV9HX4eDPLv5lrkiI5MPG+r5bHY2fuHwwVw8q4ZL89LRRr/dvWQIEM6tC0E17OugXEWKiKwGvMCDSqlXCKFcBTAcOCEiLwGDMXc2lwK5IdhqQ2J+EFsTK10XI4YSCtfZdxZ+bNu9dXrz6Ooh/l4TInm/btY19ttSJi1zpE7pdkM4c9pUvmfwrtcvtPsaT9tTSvGzgwcY4nJye15eu9dWer0U2GyICB/X1+MHcmw2etsdfFRfT73fj8OQg681VdtSB6WcvPcmm7G3pwwGIjmF7RFk4Li9chUDlFL7RWQIUCYi64GT7VzbWWqBHZgKXICZ2DkPuB14NQRb7RpPdBJecE7hE//wMucGPlBb11zZdH5WD5UVkXYpdsMZ6vvGZ0+ZstyeOmlqyDdXSjmbqtYM9bwsvQ6vvlDMb+FWrK2v59WTJxnudHH9LrOH4XcLenDAa+5WvDEnl7erq3n2xHHsIrhEmNOnD35DDuT1T91ZkJ7eb+rhnX18KUZhyogU+t7Rs4fhiFoNtdFAZ4LTplyFUmp/4N8dIvIupmC8SNdLTFQA6wJ5VIjIK5jlKv4egq02xMS+jggTa90XI069NE2Y71w15BXnyvJaGg+H275dHKEs23jtqTNW2lMnTQnppkpV55zY9t6kVb/efdkHP5lYeHj1BGm/4BQT0tLYOGIkj/XrR7Zho1kpfl95mGaluDHHLBJ4c24urwwZsu/LQwo2bPI2+r7eeKj5otpdvW/peWxy7f19BwyZM8KeOy2Xht0NeNwe9j62F39TVJLkO+3mcHa5ChHJFRFX4PcCzBrFG0MsV7EKyBWRU1PF4s5sdYVkGOEMstoBSzgTWK4d7O+5ZFrzqIkO7GGpZWMTR1frGjfZ0z61zu4ad2lX7yV+786++9/bO2Tn6xe0nDYFg12EH/bsyeiUFGr9Pq7ftcvbq0/qx8cnptctGy2DDuZJv5pNjr4pb2Uw8HsDW0WVm483c3ThUYb9ZhiG02DP3D1Uragid2rnVU27yYggzztVruIdzIp9fxURP+Yg4kGl1MbAefcDz4rIr4F1dFKuIrDE/gNgUSBQvAb4Wye2giYZBCf224dEEiF9p+3w9F3G4YPjfYPXhSOwbIitK8tUDY60q9fbXKPPtf+kNaenTa/Q6/CqCe1Nm4Ih12nfW9PXvvvZEYYsG20bWPV0Sr8/lsiFGecF9/KVX+Fv8iM2QTUp7LlR+bgEOw0+Xa5CKfU+ZqnRNnS1XEXgmoW0E4oIR7mKhBYct9udA2RY7Ucs0CKwvG1a8+iTRd0ILBtiBFvXuM6RPnOzzTk8uDwlpapzqravHb513oCMugNdrszoNdizpye7l48wjGWjZXBljvTH3LxGU2UTDbsbSC1q63rd9jq2/2w79hw7hTcWktI3BUeug4KrC9h67zvx39oAABnjSURBVFbEKWSMySDzvLarXRGgTzAnKaXWichiEbGFUq5CKXVf111rn5blKjo7N6EFh8CbTXMGn/iHLTZ3LIccWBaMYPb81DjSr/PYnEM6TcUQv3dX3/3le4bsfO0Cu68x6KXyZhu7dvdk7/KRhm3ZKBl8NFsGYE4VWuFr8LHn0T0U3lSILbX1fpzUQakMnzMcW4qN6o+q2fPnPQx/aDi+Wh/V66oZ/vBwbGk29szdw4n3T5AzufspDp1QGOyJ8ViuItEFJ7mnU+cgEFj256vMpVc2jRuWTkqvLlze2aixypHxhT02x8CON7IppZxNJ9cW7XhFFR5aOUGCiLU129i5qxd7Pxhp2N8fJUXHsmQQnVynvIq9j+4l59Icsie23bzXUoAyz89k/9P78VZ7qd1Ui6PAgT3L/IhkTcyibntdNASn59inxhrrb1sf3TKuUSLRBacrH6LkQzCOSvVl/3Ytqx3k77FkevPooALLIuISjGaFv73VquPOjC8dNBz92o0poFRNdpVn7Yht8/pn1O4/57SuyYZnZyH7PhhpOD4YJUXHM2UwXYjnKKXY9/d9uHq7KLi6/Q3AzSeasWfbERHqdtSBAluGDUe+g3pPPf5GP+IUajfWkjooxA45SjUacMyl1Mk0v6rJ9vsb8n0+b0+fTxV6vbbeXp+jt9eb2svry+zp8+Xk+v25wNHOzLaTT/U7zEJzBrAQ+I5SSoWYT/VQwBbArwKjmA5zs4LNp0p0wYnKpDvuEdJ32Sqn7zaWHDrfN2jtBO+QKZ0Flh2Gs6bJ33D2ks0RZ+aXjxr23m2Kgovfu7vP/qW7ina+doHd19BmtUmBarbj2dGL/e+PNhwfjJShVRlSRDeKYdVtq+PE+yfAgGPvHsNV6KLXDb1oPmrux8krzuPQc4eoWlllLrAb0OeWPogIaUVp2PPsbLrHbM/k6ueiz+2B8IpS1XY47lKqOsPvr83x+ZsKfD5vL5+P3l6vvbfX5yr0etN6eX2ZBT5fboZSmUDvwE8w5BOE4NAinyqUlr0dGRWRzwAXYrYTdgFLROQ/SqmTHdkKNp8q0QVHB4y7gBJ6fWjf1Wu9bc+2qc2jTg71F3Y4AnEYKbWtBUcOOzNvOmnYe51Z1j09bZrvLzy0YqK0qEmkQDXZ2b6jNweWjTKcK0bK0Kp0GUrblrghkz48ncE/GozhMqj4WwVDf9XWdO6MXH/vL/c6kZpuP1676oSx79UjPaZNTFvr216buv9A45iHf1n4cX/xO372+NFRf/q4ouaSPLKd5hdZJL/M2u9b3JaW+VThbNk7GlgS2ODnFZGPgKtF5PkQbLVCC46mDT7xD3vX+Qkr1LY1VzSNy+ypsttsRnMarvra04/kgDPrlgbDVmB+opWqyT65Y+2Irc/2OzVtUqAa7WzZ3odDAYEZXp0mwwh+GTg4lGoy4JhTqao0pWoHD3Y2HHj7SN7OA40j9n5nU+P0C1MPf/+qtOM9fb6Mnl5fdo7Dn2tUqrzv/LMx77UtTTRUww/W7p/mOeYnc4Aw+JOqS77zVgOVtX5++5/atP/cHJW2XMFMa1vlU4W5Ze9HwM9F5BEgDbP86UZCy81qRaILTkTeHfPnz2fr1q2kp6dz9913nz6+YsUKVq1ahWEYDBs2jCuuuKLVdUeOHOGFF87UdTt+/DiXX345l1xyCS+88AJHjhwBoKGhgZSUFGbPnh0J94OmXpomvOpc7c9XGUuvaDp/aAYpp1dQnEZqg/mbVDizbvMbtrzB4vfu7nNg2e4hO1473+6rv6zRwdYNA2XJ0tGSsnK4DK9JkxEEv7HNRKkaG5xIUepkujl9aSzw+Xy9fD5V6PXZe3u9zt5eb1ovny+zwOvLzVQqC3OlpxDA51cMfruaohyDDXenpVz0t9oBPUapAaN6nAkWv7ndy7ZjPu6+yEX5Hi/feKOeJz+Xyk/KvLyzo5k3bkrnzlfrWbXPx8ZKH6N7RLyuezDBolb5VOFs2auUeltELgLeByqBDzCTQrvcSvhstOCEwPjx47n44ot5+eWXTx/buXMnW7ZsYfbs2djtdmpra9tcV1BQcFpE/H4/jzzyCCNHmpUzbrjhhtPnLViwgJSU8JSA6DaCcVRqLnvWtawuEFie4MCe4bSlNIOx25l1uy3FZxwZsu2f+3OOrcjc3gf1t6tky6rhthG1qTKSlqVBlFICJ+xwItXvr87wq/pcv6+ph9fnK/T5pLfXay/0+lIKTQHJLvD58lyKDLoxUl25z8egHINj9eC0CTeOcTB/s7eVaMzf7GVCbxt//7CZpV9NY/Lf68hJEW4Y7eDRlU18440GxhfasBvS5toI4QrinLPzqcLaslcp9QCBXlki8v+AbYTWSrgVnQpOO5HwtwIvZGnLaHRXI+EiMh5z7pcF+DAL/oQlEt6CiPQzGjhwICdOtE7WXb16NZdddhn2QFmD9E6KNu3cuZO8vDxyclovsyql2LhxI7feemt4ne4uQlogsHz4fN+gdSm27BpH+uT9KbVP+A/m7XC9doNk+VNUVb7PR0+vr+6GJt9Hveu8jt5eX2qh15vR0+fLzvX582xmmYOI5wecYl+1oneGwbF6c5W5X5awYl/rfXKbjvh5fZufxbelkZ9m0C9L2FetuLC3jS+NcfDEZ1P58aIGinKFfdVRWa3udCu0Uuq4iNhEJEUp1YCZ2f01Efkt5khkOvDHwCrVqRyoZzkrnwr4plKq1ZtNRGxAjlLqqIiMwwxEv30uW8ESzAjn7MpiD2PO687u1tfVymJ1wK1KqW0i0gdYIyILlFInOrLVlcpiAaK2l+Ho0aPs3r2bsrIy7HY7V1xxBX37djy93bBhA+edd16b43v27CE9PZ38/PxIuhsySlTBiaEvbel3+SfjxqBSAYZglqprjQ2woTCDCgfMg1VRczTAuuYa54GDtc7qmmbboqn5VR/XVjt3exvti6bm1wEcPNhsrDxUnXPXXbm1e6/LbtwLHHm5KWvF+dm127Y12vdWNdr/NSyr/ukn6rKuuy6rbvfu5tPXRgqbT/lmBHdqy3yqFzADuusxpzlvndWyN+h8Kswv6vJA44yTwFdaxG26lU8VjOC0qiymlFokIjNanhBKJFwptbXF7/tF5DDQQ0SqumrrHEStQ6Hf76ehoYE777yT/fv388ILL/Dtb3+b9rqd+Hw+tmzZQklJSZvn1q9f364QxQJZWYc3jTmvzG+3NwfKS0StZEPIvPVWDR+vr0f54cYb9+SNHOnC74fXXq9OufbaLP71ryp8PsXzz59Mf+utmnSbDerqFD162rMfeeQI+/c3s317k+s73+3B5s0NGT172SGQpR0pfHYJNi7SMp8qlJa9HbX/bcBcqeqKraA459Ctg8pi7dGt6HVgaOfEbKre7Uh4CyLYrq01WVlZjBo1ChGhb9++5kayuva/CLdt20bv3r3JyGgdmvD7/WzevDnmBMdma6oad/6C98adv2C43d4cV+U+fvtgIQUFdp58qj//fGYA+/d7uePOPK691myNfu8PeuD+RSEDBzp4/K99+ea3CkhPN8jPt/PY433JybXxi1/2YuzYFN5dXMvkyVFZpQrqi1IptQ5YHJgCdRml1H1KqY9DufZsAuGOvwDHz3VeZyOc9iqLtXu/do4FpdIi0hv4J3CbUsrfQQO0UBugN4R4XZcZOXIkO3fuZNCgQRw9ehSfz0daWvspRx1Np3bs2EFBQQFZWVmRdjdo+vX75P1Bg9cOFaHbFfqswGYTvvWtAkrvP4jfr7j605kMGuTktdfMYnjXXpvFpEmprFxRx6237MWVItx3X89zXhsFgm7DE2/5VJ0JTpvKYh0QUvRaRLKAN4CfKqWWd8dWB7Q3P+02L774Irt27aKuro5HHnmEGTNmcMEFFzB//nz+8pe/YLPZuO666xARqqurefXVV7n55psBaG5uZseOHcyc2Tbm3ZEQWUF6+vEdY8curHI4G9uGZ+KMSZPSmDSptfifGuEAiAjf/k77qQ/tXRsFjkX7htHinILTTiS8o/NCiYQ7gZeBp5VSzwdjKwQi8h/3hS98od3jn//859scy8zMPC02AA6Hgx/+8IftXn/dddeFx8FuYBjeupGj3luZl7dvighDrPYnSam02oFIEUwlolORcABEpBx4HigRkQoRuSrw1P3A90VkO2YcprNI+JeAacDtIvJh4OdUX52ObHWVsJfXTGQKC7euvHTys8fy8/fNEInMlgJNUCSs4ASzSnU6Eg6glGq3AHYIkfBngGe6aKuraMEJgpTUk3vHjV14wJVSlzANA+OY+pJiT9tdowlCp4ITr5XFAiR0n+buIuJrGj7i/Q969Nh1sYguVhYjHLHagUgSVGpDvEXCW6BHOB2QX7B77ciRS3MNwx/3fdcTjISdTkHi51IdxtzTEPHkl3jB6aw7NHbcQk9a2sm4X31KUBL6SzKh+1K53W4vsNNqP2IDv6+oaOV7F096MVWLTUyzzWoHIkmij3AAthDGok7xSE7O/vWjx7zrtNl8cbl5L8nY2Pkp8UuyCM5nOj0rAbHbG46dN3bRxoyMY1NE4iDxSQNacOKezVY7EH2UGjjwo2X9B6wfLXJmD5UmLvjEagciSTIIzharHYgmmZmVW84bu6jJbm/WQhN/HC4p9gRTPD1uSQbB+Rgz+TOhpxQ2W3P16DGL12VnH5oiolfl4pSEnk5Bgq9SAbjd7hMk+Cinb9+NH1w6eV5tTs6haVps4poNVjsQaZJhhANmEeiRnZ4VZ6Slndg5dtzC405nw6VW+6IJC8usdiDSJIvgLAe+arUT4cIwvPUjRi5dmZ+/91KR4DtRamKeJVY7EGmSRXA+sNqBcNGzp2fVsOEfFBqG0ikJicXWkmLPAaudiDTJIjifYBaDjp1Sel0kJaV639hxC/elpNTqjO7EJOFHN5AEQWMAt9vtJ1BeI94Q8TcPH75sycSLXsnVYpPQvGu1A9EgWUY4YJYybVuSL4bJy9/74ahR72XqjO6kIClGOMkkOG8SJ/txHM66yrFj39mWnl6lkyyTgy0lxZ59VjsRDZJiSgXgdrsPYjbuimGUf8iQ1e9NmvSiU4tNUvFC56ckBsk0wgFzWnWh1U60R3b2wU/GnLfYsNm8OqM7+XjOageiRbIJzkvAz6x2oiV2e+OJMeeVrc/MPDJFJHlGnJrTbC4p9oSlGV08kFRvcLfb/SExs31cqf4DPl52yaXPebOyjkzVYpO0PN/5KYlDso1wwOzy+ZCVDmRkHN123th36hyOpilW+qGJCZJmOgXJKTj/An6LBaM7m625ZtToJWtycg5MEUnKv72mNRtLij0xMuKODkk3jHe73fuAxdG+b+8+m5dfOnledW7ugelabDQBnrLagWiTrG/8J4GSaNwoNbVq99hxCytdrvpLonE/TdxQDzxhtRPRJlkF5zngYaAwUjcQw9swYsSy5QUFey4VYWCk7qOJW/5VUuw5ZrUT0SbpplQAbre7CfhLpOz36LFz9eTJ8w716LFnhgiuSN1HE9f82WoHrCBZRzgAjwM/BlLCZdDlqjkwdtzC3ampNXr6pDkX75YUe9Zb7YQVJOUIB8DtdldirliFAb936LAPllx08cuZWmw0QZCUoxtI7hEOwB+AO+hGQmdu7r6PR41ekmqz+XRGtyYYdgKvWu2EVYhSymofLMXtdj8P3NDV6xyO+iPnjV20JT39+GTdZE7TBW4rKfY8bbUTVpHsIxyA/wauh2C7HSj/oMHrlvbr98k4EfROYU1X+AR4xmonrCTpRzgAbrf7SeC2zs7Lyjq0acx5Zcpu946OvFeaBOS6kmLPfKudsBI9wjFxA18GnO09abM1VY05r+yjrKzKy3SSpSZElie72EASr1K1xO127wL+1t5z/fpvWHbp5HlN2dmV07TYaLrBj612IBbQI5wzuIGbgFyA9PRjnrHj3ql2OBp1nEbTXd4uKfZEPX8vFtHf2AHcbvcR4L8Nw1s3ZkzZkgsufGOAw9E43mq/NHFPI/Btq52IFfQIpzWPXXLp89fabN4rrXZEkzD8uqTYk9C97buCXqU6i0VlRRMxWwMHuUyu8fkUd9+9j4J8Ow/8ppAlS2p4+qnj7NnTzKNz+zJiRNt0ssOHvTz04GGOH/chAp/5TBaf/0I2AB5PI3/8wxHqG/wU9nLwox/3JD09LgfjG4ALS4o9zVY7EivE5f9iJCkp9qwGHrXaj3ji5ZeqGDDAcfrxoEFO3L/oxdhxHaep2Wwwe3Y+f/9Hf/7n0b7Mn3+S3buaAJgz5wh3fS2PJ57oz5TL0njuuRMRfw0RwA98TYtNa7TgtM9PgR1WOxEPVFZ6WbGijmuuOdNFeeBAJ/37t7vD4DT5+XaGDTdHPmlpBgMGOjhyxAtAxd4mxgXEasKENMrfq42Q9xHlLyXFnuVWOxFraMFph5JiTw3mvhz97dQJf5l7lK99PR/pRnLHwYPNbN/eyMhRpsgMGuTk/ffrAHhvSQ2Vld5wuBpN9qKXwdtFC04HlBR7VhJjLWVijeUf1JKTa2P48NBL/tTX+/mF+xB3311wOk7zg/t68Or8k3xjdgV19Qq7Pa5S1XzAzSXFnmqrHYlF9CrVufkdZinSK6x2JBbZ8EkjH7xfy8oVdTQ1Kerq/Pz2N4f50Y97BnW916twuw9RUpLB1Knpp48PGODkod/1Bszp1YrldRHxP0L8oqTYU261E7GKFpxzUFLsUYvKim4FPgKC+xQlEXfdlcddd+UB8OGH9Tz/XFXQYqOU4ve/r2TgAAc3fDGn1XPHj/vIzbXh9yue+dcJZl6bGXbfI0QZ8IDVTsQyekrVCSXFnoPA7YDePxAkS5fWcuOs3Wza2MBPfnyQ++8/AMCRI15+/CPz9w0bGnlnYQ3r1jXwX1+v4L++XsGKFeZIZnFZDbfdupev3l5Bfr6Nq6+OC8HZB3y5pNjjt9qRWEbvwwmSRWVF/w38wmo/NDFJMzC9pNjzgdWOxDp6hBMkJcWeX2J27dRozuZbWmyCQwtO17gLWGK1E5qY4oGSYs9frXYiXtBTqi6yqKwoD/gAGG61LxrL+UdJsecOq52IJ/QIp4sEmpddAxyx2heNpbwJfN1qJ+INLTghUFLs8QCfBWqs9kVjCSuBL5YUe+JuC7TV6ClVN1hUVjQZeAuIi3VbTVjYAlxWUuzRI9wQ0COcblBS7HkfuAo4abUvmqiwHnP5W4tNiGjB6SaB5dArgSqrfdFElJWYYnPIakfiGS04YaCk2LMCM98qLgu3aDplCfCpkmLPcasdiXe04ISJkmLPKqAYOGC1L5qw8h/g0zr7OzxowQkjJcWedcBFwDqrfdGEhWcxm9fVW+1IoqBXqSLAorKidMw0iOut9kUTEn7gJyXFngetdiTR0IITIRaVFQnwW+B+q33RdIkTwE0lxZ7/WO1IIqIFJ8IsKiu6DfgrEHpZPE202Ig5hdpmtSOJio7hRJiSYs9TwCTMN7MmdpkPXKLFJrJowYkCJcWej4CJwF+s9kXThlrgHuB6vRIVefSUKsosKiv6DPB3dMnSWGAZcHtJsWe71Y4kC3qEE2VKij1vAOMw93dorKER+CEwTYtNdNEjHAtZVFb0ZeD3QB+rfUki1gK3lhR7PrHakWREj3AspKTY829gBPAwuulepKkEZgMXa7GxDj3CiREWlRWNAv4Hsw+WJnw0AX8Gfl1S7NEJthajBSfGWFRW9EXg1+gSpuHgZeC+QME0TQygBScGWVRWZANmAT8FRlnsTjxSBvyypNijC97HGFpwYphFZUUGcAOm8Iy12J1Yx485onmwpNiz2mpnNO2jBScOCORlXYeZlzXJYndijUbgaeD3JcWerVY7ozk3WnDijEVlRRcA3wBuAtItdsdKdmAKzf+WFHt0DaI4QQtOnLKorCgT+BLwVWCKxe5Ei5PA88BTwNKSYo9+88YZWnASgEVlRcOAL2C2rplEYu2vasYMAj8NvKyLYcU3WnASjEVlRT2Az2CKz5XE57TrMGb7ndeBBSXFHt0VI0HQgpPALCorcgHTMadck4CLgVxLnWqfw8AqzJHMO8B6PV1KTLTgJBGB1a7hmOIzCbP+8lCiK0J7MfOZTv2sKyn27Ivi/TUWogVHw6KyohxgSIufwcBAIBuzq2jLH+dZl3uBBszl6QbM+jL7gQpMcdnb4vfdutVKcqMFR9MlFpUVOYE0zBylxpJij89ilzRxhBYcjUYTNRJp+VSToIhIqogsERFb4PFtIrIt8HNbENdPE5G1IuIVkRvOeq5dWyLyLxE5dvb5mu6hRziamEdE7gHsSqk/iUgesBqzRrQC1gATlFIdxoZEZBCQBfwAeFUp9ULg+DlticiTwOunztd0Hz3C0cQDN2N2VQC4CliolDoWEIaFwNXnulgptUsp9TFmgmdLumxL0z204GhiGhFxAkOUUrsCh/pirnidoiJwLBTCaUsTBFpwNLFOAWY3zFNIO+eEGhcIpy1NEGjB0cQ69UBKi8cVQP8Wj/th7vsJhXDa0gSBFhxNTBOIrdhE5JToLACuFJFcEcnFzBdbACAivxWR67tgvkNbmsigBUcTD7wNXAaglDoG/Aoz92oV8MvAMTCrIh48+2IRuUhEKoAvAn8VkU+CsKWJAHpZXBPziMgFwPeVUrd0ct4CpdRVYbzvk+hl8bCiRziamEcptQ5YfGrj3znOC6fY/Asz074hXDY1eoSj0WiiiB7haDSaqKEFR6PRRA0tOBqNJmpowdFoNFFDC45Go4kaWnA0Gk3U0IKj0WiihhYcjUYTNbTgaDSaqKEFR6PRRA0tOBqNJmpowdFoNFFDC45Go4kaWnA0Gk3U0IKj0WiihhYcjUYTNf4/mPoXX6VEzvEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timerange_isPolitics = df_temp1.loc[df_temp1['是否为时政'] == '是']['时间差分段'].value_counts(ascending=True)\n",
    "timerange_isPolitics.name = ''\n",
    "timerange_isPolitics.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a741ab0148>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JObzm0ws+u2d4Rs2eKcCjZpsUi2jBOZPfA21u9vOJGvR2wuohy23bFkfJplb51sQrWfI/L/HBt5+id1ov7i2e22pbt7eRj3Z8xmWjvnTy2J8vLeKZNW9w6dO3U+eux24JLYYvUC6cHilJ7D56DLfHi1KK7Ycq6ZNx+jRPVkoy2w9VAlDjdHGkppZeaSlBneunPiH9+gQTlsDPwOJrLJu47pFtYzf/e5ZF+ZrmRa8tHZV/tamGxSB60rgZDodjKkYS7fYREjfa9s7cbalcfqV7Sn4i9szIWheYnNRT0fs3jr+c2/5b1GrbT3YuZ0yf4aedM6zXIF687mEAdlbtZeHOZSFd36PcrpbHBvXKYtyAfvzloxIsIpyVlcm5Q3NZumM3AOcPG8SXRw9n3ufr+fMHi1FKcdm4UaQmJpCamBDw3JZYE6essthyZoZkbLhRypdVvaVk3MbHpll9nkAz238rHZX/fv6W0q6QETEqaMHx43A4LBhDqZC8vhpLw7kvJJbsucQ9cV8/lTU6Mta1zqHaSvqkZQPw/rYSRma37pzN37yQr+d/+bRjlXXVZKdm4VM+/rb0WW6e8PWQrt9aLpyvjhnBV8ecvqh3/rBBJ3/PTE7ijgsDb7gOdG5zxJKxwp5ygaliIz7v3rGb/lWVfXRjWyWb+2Nk5PtNlMyKebTgnOI7wPiOnOgTlftOwhp3vnfA4umekRH7IPzgrf9j+Z61VDUcZ8rcq5kz49ss27uOTYe2IyIMyOzLA1+9G4CDNZX89P0/8uw3HwSgodFJSfkqHrj47tP6nF/6Mc+seQOAS0bM5LqxwWTSPIXb64xy7hfzl8DTT5SXTFz/t4k2r2tgEM3vLh2V/0T+ltK9ETesC6CXxTkZc7Md6NfZvtJU0oorXVNHJmGPi31Xe+u2LFp6eH5b3/LhxNwlcOU7OHrLsxV9D62cHOKZL+ZvKb0plBNEJBl4HyP5+gDgdYyUKHbg70qpx/zthgAvY9RKXwN8SynlDqL/DKAUowrED9vqy5898D5gS2fTlepJY4N7CIPYANSKc9oLiSW1+yxVG8PRX6zj8tZH7VpmLoGn1B1cesFnP0vqgNgA3FA6Kv/cEM9pXjb4AHC+v9TvNKBIRPr724VUNrgZ93JmQvaIlw2O+yGVw+Hoh5FdP2woUQPes6/tM9Lbf9EMz6iZgnTb9AVOb31UcuH87u2FjalJfWZaLB9gESs/u/r07W3b9q/jXx/8hl7pRnzRhCEzuGTSLQB8suE1lpa+i0IxfdRlfGlcCItHSlUN3/Hq1oH7Fp3fCfMF+EvpqPzz87eUBjukuAm40TDhNI8lEb+j0KzU743+154BHLSz909EJgF9MDyoyZ3pK1TiXnCA3wIhlXUNCsG+1bb/wgrr0ZVXuqbmJZMQyWRQphGlXDj1FklJ+PEVf5G05NYXA/P6juH7l9x/2rH9VbtYWvou91w1F6vVzj/eLeLsQdPonTmg3YsmOqs/n7zmwcGJ7uPhiPU5F7iaU3XAWyVA2WBEZCDwDsb2iXuUUvtFJJsQS/2KiAV4CPgWUNjspaiUDY7rIZXD4egPfDuS16gT15QXE0tcey2VYcnGH2tEIxeONXHKKovF3qEvx4PVexjcJ58EexJWi5Vh/caxfteStk9S6sSQXe8smb78V1MT3cd7d+S6rfDLINu1LBuMUmqvUmochuDcKiJ96Fip3zuBd5VSLSexo1I2OK4FB7gLIxN/RFFCvw/s60d/at/0qaJ7zdK7vPXt7azsHP4lcBHh0Xd/yh9fm82SzYFLQ+06tJk/vPo9/vFuEQeqygHo33MwOw58Qa3zOO5GJ5v2rKC69kirl7O7a9aet8JxYsjud2dE4G4mlI7KD2YZsGXZ4JMopfYDmzDqlnek1O95wA9FpBz4M3CLiDzQwb5CJm6HVA6HIwu4I2oXFGw7rAdn7bNUrfqGa9rgZBKyo3btCOLy1od/OHoSOZSYfuMwgP/39b/SIzWbmoZqHl3wU/r2yGVY/3EnWw7MHs69N71Eoj2ZTXtW8K8PfsNvb3iWvlmD+MqE63n0nZ+SaEvmrF55WC0Bpp2Uahiwb9Hnw3e8OlMCf9uHi18A77bVQClVLSJWEUlSSjlFZABwVCnVICJZwHTgYaWUEpGmUr8v06JsMPBDpdQtLfo+uVomIrcBk5VSRf7nAfsKJ/Hs4fwASG+3VZhpEPfkFxNLPLstR9ZF+9qRoGUunDCi7KmX7RNLSi+AHqmGPqcnZzFuyAzKj5y+lS05IZVEu5F48OzcaXh9HmobjgNw/qhLKbr6cf7f1x8hNTGdnMzTpyasnoZNU1fdf3DEjlcvjLDYAEwvHZUfTImZk2WDgXxghYisx1hZ+rNSaoP/tZDLBrdBxMsGx6XgOByOJOBHZl1fCX0/sn8xtti+8VOFitkicu3hz4UTEcGx2HJPLoG7Ghtwuo3ld1djA1sqVtE/a/Bp7U/UV9EUU1Z+eAsKRWqSsbO+psHY/FlVc4j15UuYPKyg6QYa+xz8fNHMJfeMSqvbH65iecEwJ4g2j2J4GSilPlJKjVNKjff/PLm5WCm1Uyk1VSk1TCn1TaVU01aTaUDrG+uMc59uisFpp6+wEa9Dqm8C5qYPEKw7rYdm7bdUrfmGa9rAFBK7YjqDWoWKgODYt9jTrjq5MlTTUM0TH/wWAK/yMnlYIaNzp1Ky+W0ALhh9BWt3LqZk81tYxYrdlsi3C3+F+KMRnvzQQZ3zBFaLjWun/4iUxHQsXvf2iev/5ss8sStaQYvN+UbpqPxB+VtKd7fWQCm1VkQ+ERFrRyp5KqXu6ZyJp/AH/v0WWN3pvuIx0tjhcCwCzN341wxRHC5oHFsxxNc7ZvK6BINP+fa/Wv5g//ZbhkRDQvq3DlhsOUPD3K+BUt5eVZuWjN34r/MsymvmTvP/y99S6jDx+qYQd0Mqh8MxnBgSGwAl9F5o3zDhY/sXn/owvy51sATKhdNZrImTV0ZKbMTn2T3hi0c3j9/wzwtNFhsw4mDijrgTHGI136xgKbcemfVCYsmGOpyHzDYnGALlwukUlowV9pSZ4f8yUEplHi9bPHPJPTk9q7eMDXv/HWNo6aj8SCy9xzRxJTgOh8OGfyIuVnFJ44SXEj+zllkOrjLblvbwqsYwTiqeWgIPK8p74OzNT62ZtPbhmVafOyXs/XeOW9pv0r2IK8EBLsLYQxLbCNmf2DdN+tC+PqaHWI0+V7u7koNE2VMvrWhaAg8XqbX7llyw5GcpfY6smRTOfsPIN0tH5cdQ1dLIE2+Cc5XZBgSNIHuslbOeT1y8qYaGA2abEwi3Lzy5cIwl8JHhEwXlOzJy64srpq26f4bd22BKJsYg6QF8zWwjokncCI4/o1+X++e6xTNuXuLSxO2WAyvNtqUlLm9DGJY4bVubL4F3lqSGyuUzlv5CzjrwWTDBdbHAzWYbEE3iKQ7nfCCcG/Gih9BzkX1z1g7fwUVfbRw/3YIlJv5vzs7nwmlISL/eFpZE6EodH7rrrY23f/KP6akWKxYBG8Krgwef1uztE8f599EqAFIsFn7Tpw+jkoxtSye8Xn5z8CDb3S4E+H3ffkxIjnjZ9C+XjspPyt9S6oz0hWKBmHjjRomuM5wKhCD7rFUXPmdZvPEq97SsDJUc9tQBoeLy1nUqF46xBN6706tSCa7jqyet+XP/ZFfVdICnBw4kyxb4rT3AbueZ3FwyrVYW19by20MHmTdoMAB/OHyIGampPHLWWbiVwumLShB4CjALIzdNtyduhlRAaNnBY5RG8Y55JWFp6hbrvhVm2+L01nX8C8uS/nmnl8CVqsvd89HiGct+MSnZVRVUxsaJySlkWg2dHJ+czCGPkf6l1utlVUMDV2caUz4JImRYo5JbDOCyYBuKSLKILBIRq//5n0Rkk4iUisjf/Im0EJEhIrJCRLaLyDx/jp32+v6jiGz0P65rdjxgXyJynYjsEJHA2/cDEBeC43A4BgN5ZtsRNoQeS+xbpr1jX7PIiy9g1YRo0PFcOHIoMf2mTv0/bI31X0z7/N7KYTvfPE20RITbK/ZyTfkuXjl2rLXTAXjt+DEuSDU2u+9tbKSn1covDx7gG+W7+PXBA9RH0MPxWqjY0Y+SJy+yLP/uj62hzGGdTD0qIudj7BwfB4wBpgBNWzVCSj0qIpcB5wBNaUzv8ec9brWvjqQejZchVUxFFoeLA9bqC5+3LN58pXtqeqZKCaaCQFhxdiwXTtMSeMdWpZRy9Tu4bNmorS/OFNQZX5gv5ObS22bnqMfD7RV7GZqQwOSUM8NvVtTX8frx4zyfa5Su8aLY7HTyi959GJ+czP2HDvFk1VF+lB2eLW4K6o6ms2nFSHEunGAZWJEjQzByzgAw9pmxuRtu3bAniK5Oph41uiUJI6eTYCRYP9TBdKGjgUX+jH8e/870i0Xk1Q701SpacLo4jeId/WrCsuPne0YuH+0dEGqi7k7h8jWEnAvHvwTeoQ2TFq9ryzlr/2LNqN07q7U2vW1GxtNeNhuFaWl84Ww4Q3C2Op385uBBHh8wkB7+YVMfm50+Nhvj/ZPEF6Wn82TV0Y6YCYAC5bKzZdMgObxwvGSuy5PRHqtMbeOUL2F8mFulZepRpdQyfw6bAxiC86hSqrQjqUeB9cBvReRhjHmlLwGbCXPqUS043QEhc6l967ll1oOLL3WfM82KJSrBZG5vQ8AavK3TwSVwpbzZleuXjNn87/MtytdqDuV6n89IS2GxUu/zsbSunu9nnx5LuL+xkR/t38cD/foxOOHUtEaOzUZfu51dbhdDEhJZXl9HXkJof0afcGhvNjsWj7GweKyMPJ4q+Ri5bIJhOu0IDi1Sj4rIMH//TZ7SRyIyE6P8S0vaDGFQSn0oIlOApcARYBngIcypR7u94Dgcjr6AqYXTosUhy/GZzyUuLv26e0pKlkod1P4ZncPta8hov9VJOrQELr7GnRO+mNuQdWx7u17RUY+HH+3fB4BHKS7LyOCC1DRePmbkw7m+Rxb/PFrJca+X3x0ytqs1Xzr/Ze8+/HT/ARqVYkCCnfv6tj0PrcB5PIXNq4ZLzcIJlv5l/WU4HY9kD6YqRMvUo1cBy5VStQAi8h5GsvYS/OlC/Z5JUOlClVL3YdSfQkRexKjVdjL1aCh9tUa3FxyMb464wSPe/NcSlp841zN86RhvbmdKm7SJUqpOoYIeUoW8BK6U6nFs2+LxG/451eprDCoYZmBCAm8MPjOP1vU9sk7+fm/fftzbipDkJyWdEbfTEreVsq0DpKJ4vKStHCGj3XYJV0qR/LHPjE3fcOuGmtYatEw9CuwBvicif8DwRC4EHulI6lH/qlcPpdRRERmHMRH9YVt9dYR4EJxx7TfpZggZy+3bzy+zHlp8mfucqTasYU90rlA1BFteJ8QlcPF5K8ZserIy5+gXZiTHOg0fVB3sydbPRov3k3GWvMpMySMyK54WYBLwaTvtmlKPfoxRcqYA2IAxzHlfKfW2v93PgJdF5PfAWtpPPWoHSvyr6ieAm5vN27TWV8jEg+CMMdsAszhiOTHz+cTFW7/mnpLQU6WFNYWmUt7a4FqGtgSeXrOnZOK6RybYvK72C0dFAAWNtUmUrsuTqoUTLL1LBzJKiYRt60U7jKN9wXkUo9rIx/5MgP8TqJFSaicQaJI6YOpRv8c0OsS+QkYLTjfHI76RryesqJ3iGfbZeO+gsA0vvcobTC4cZU+9JLglcOU7nL/1hfJ+B5df0HnrDH554ACL6mrpabXy1pDAOb0+r6/j3kOHGmstqlFlWL2D7s2jIVHGGSYpyn5bhj3LzqD/F+EpMaVq+3q97YY2dPXUo91acPzJ0sOfY6WrIaSttO+YvtN6qOQK96TJNqyd3iDkUe529/5YbAMXWxNGtTssSq4/tHTymofy7Z66sHyLNnFVZiY3ZWVRdOD0OU4FJ45kUvrxYK/34eJDUwb8YbA9p1eC3XPCQ0PiqUWZox8eJbF/Ir6GMAYAKlWbqtSeAY2eqjEut3eSy5k6wenuO8DjOUuMmlFBdKGe8kccvw8U+IMAvRhDK4A9SqmvgREljDH30hNYA3yrRengMxCRXOBJYCDGUO1SpVR5K33Na4o4BrYopS5vq+92BUdEkk1lZwcAABtaSURBVDH2eTTd2PsYM+FLmnce6o2JyASM4KEMwAvc549cbLUvv6LeF8yN+RlNnERTB8NRS80FzyUu3nGFe7Jkq/ROzUM0+tzt5MKxbbWnXdV2XJBS1cPKXivNrfgkIpPbk1NS2NdomFmfwKYNg6Vy4QTJ+mKIjPZZZNrRhcdJPS+ThF7Gwpkt49THobGqkZr1NeRckcPRDzoQj6NUXapSuwc0eqrOdru9k5zOlIlOdz+/sAQcuhD8Ejo0izj2P29QSk0I0K4pSvhlEXkMI0q4vaC9ZzE+jx+JSBrQpLgB+/KLziHg7vaMDsbDaXljD2IEBrUcO4Z6Y/XALUqp7SLSH1gtIh8opY6F48b8jAiyXdzgFd+wNxM+rz/HM3TJOd4hHU5x2U4uHP8SuK3VQJZE17GVk1Y/mJvkPhYRsfEKB3b3puz1AZKyr5jxt82xnd2yjfugG+VV7PzDTnxOH70u6kXWdGNF68CLB+h7XV+8De2MWvzCclajp3qM2904yelMneB09x/o8fRvQ1haoyeOzB44jre9J8OgecRxQDoScSwiowGbUuojgGZL7h2JXj6DYATntBtTSi0UkVktjAzZGKXUtma/7xeRw0COiBwPta82iHgsSpdESFlj3zljl/XQkq+5J0+0Yws5YtjdRi4ca+Kk1pfAlaoZvPv9dUPLF4RtrgZAQX11Gps/HyF1xeMtA8r7Sh7Qz33Eh29R4Np2yqdoKG9gyM+G4HP72Pn7naTkpeA66MKWYSN5cDK1pbVNdtel+D2WMW63p5PC0haDgTaLJLaMOPaTJCKrMIL1HlBKvUnHooRHAMdE5HVgCMZqWBGQ1YG+zqBNwWnlxgLRqfBnf2xAAlDW2b5aEPX9RV2JakvdjOcTS8oud0/y5aiMkIIjnb5WcuFI+uf2lAsDio29sXbdpDUPZqc0VIZFbFw2tm7OlYOfjJeMVcNktMcmk1u2OfDKAVwHXGz/5XaG33f6Ldqz7FjTrNTvrOfgiwfx1HjY/chuX9bZqVV1K09klK867hOPz1pbr+xVP9qcuuGu9HAKS2vk0o7g0CLiuOk8/xf3UKBYRDZgLG+3pL0oYRtG3fKJGHE+84DbgLc60FfAztsi0I0FosPhzyLSD3gOuFUp5WvaXt+RvgIQkZwx8+fPZ9u2baSmpnLnnXcC8N///pfKykoAnE4nSUlJzJ49O6hzATZt2sSiRYs4cuQI3/ve9+jfP9zlngLjFV/e/ISVDRO8g0sme/KCFgKXty7A3JgcTsy48czlIKWcZ+0vWTFi+7xO1e32CUf29WJ7ydkWtWisDK9Ol5HAyLbOyZycibM8wPy2UnXZY1IP7HtqX0714ir7/bf22PHo8+7R//6q1TprsDebGYbTd+c7Dczf6mFi36ilqgjmPdsy4hil1H7/z50i8imGYLxG6FHCFcBa/1I4IvImxpztUx3o6wzaE5wzbqwVOhT+7N/+/g7wK6XU8s701Qp9O3hem0yYMIGpU6fyxhtvnDx2zTXXnPz9gw8+ICkp8J8t0LkAvXv35tprr2XBgqBTi4QPIXmdrfyCXZbDS7/unjI2AVu71TSd3rqWe5qUPfWSvWJJPW0J3Opxbj5n7cOJ6XX7Qg7iU+CuSWbz6mFybOEES79tZzECkaC3b+/9517qSuuUp9YjAqrPG/u2ndXoSRysvJmOqbYeAsOuSvGy5IiXf79QPe5/J9mZNfjUbVWc8LG8wsvAjEiXGz+NdvP6tIw4FpEsoF4p5fJv3JwO/KkjEcfASiBLRHKUUkcwpjdWhSviuE3BCRBK3Vq7joRSJwBvAM8qpV4Npq8OEBHBGTRoEMdaybWilGLz5s3cckvgCiCtnZuTY36l3+OW+vOfT1xcfpl70v4+KrNNz8HprTttT9QZS+BKNfY+vPqz0VuemWFRvqDDLxqt7NrWnz2fjLekrBgpo10JEmjl5UyUqk9RavdZHs/RMS635xynK3Xi5da+uRenDNh9zMflL9bLxxO8Iw0H65Q5gzIt9D/bzqYjPp77opGeycIt441b+8n7Tp64Ipkat+LPS8NVoKJdsoNs1zziOB94XER8GKuyDyilNvvbhRRx7F+JvhtY6B9trAaeaKevoAnmjdD8xhCREmAUkCYiFcB3lVIfhHpjwLUYu7h7icht/mO3KaXWhePG/PTo4HkdZs+ePaSmptKrV1grnkQNn6jBbyesco315i6e5hne6naE03PhnL4EbvG6d0xY//fGHid2zmrvegqOH+rB5qWjxVM83jL0cA8ZgjFZ2coJAYTF6eqb6/EMkADLyu/v8HDnOw1UnFA8sMRF0YzTF87q3IrXShvpny7YLfDrT1ycO8DKtqM+Dtb6uPXNBmrditSEyHg5SlHrxVLTiLXWRULDPpXtPmM5LTBPAPP9K7yJGKEl+H/OFZGj/olj1ezh49T0RMCIYz9fAawY4nUCaEryFrAvf7jKwwShJ8EIzslQagClVMBxfgdCqZ8Hng+xr1CJeuGzDRs2MGZMFw9uFhI32PbM3G05suxK99SzE7CdsSvc5a1vWtk6tQSulK9ndenicRseP8+iPAGXxBV46xPZvH6IVC2cIL02DZJ8nyXA1oFmwnK2y+2d5HQlT3S6+rUmLIHw+hQ/eLeBp69M5vvvOHlpYyNfG2ljdM6p+ZitR32M62Pl09tS2VLppeCZetYf9PFBmYcV+3z0TxdcHth7wsfXX6pj/g2nFvSUQgE1hmDY6pwkNNSR5KpVye7jpPqqVLo6qjKoJNN6RPWwV6rMxEqVkVRFRmq1Sks7QWqGD0sa0DzNx/7yYG7O2He10LBDfYKRqQ8R6QnswHAUoPUQk4ARxy2yCAIswdgU+mlrffnbNRLEXGu7gtNVQ6n9ZWGiWj/a5/OxZcsW7rjjjmheNmKcsDSc93zi4t2Xus/Z11f1OO1D7vLnwmlaAhefZ/e4jY8f71W1eVbLfjwWKnb1Yden4yz2z0ZLfn2SnCq3q1R9is+3+yyPp+psl7txktOVMsHp6jcoBGFpjc/3eRnW00JupgUBrj/bzvwtnpOCoxQ+r1K+Y058xz0Ju1LS7M4j9XXjDltzNmb3s1qnNtT1vOPqC7Yt2nq852sfrhi2J3ti9VWuq05Uk5ZardLTT5CSrrBkYASvhotgcwzdBNwY4DN5DfCeUqq+g7EzIWcRDHfgH0qpp4JpF2n8kcjzgmwe8foeLdm5cyfZ2dlkZITz/WcuPlGDFiSsdo/2Dlh0vudUpj63z5nhXwK/IOP4zpKJ6/9+jtXnHgSgoPZoBpuXjxRn8XhLbkWODEapnslK7TnL07hxTI270T8U6pPr8QywdFBYlMKr4IQXa43b8DBcdSrJVUNK4zGV5n3p0Imczw+VDT37X43WBqey/XYJvrTsfq4n5Vx3gyQnJUz6RmL1Wc/aXBWbyHmsZqTyNOLxCb9PumusJS2Rw8vuZU/N1X1dso0a1zLKnBn9qtXwoJK1d4J237fthKtcjzG8gQ6EmIQ5i+AZdOe9VBETnNdee43y8nLq6+t5+OGHmTVrFueccw4bN248YzhVU1PDW2+9xU033dTmuaWlpbz33nvU19fz4osv0rdvX26+OUZqpAkJm20VF+6xVC6/yj01P0HZEhSqJint2oyzNz+1uvfh1TOcdrZsGiqHPx0nyVuGquTeyts4xuX23eF0HZm412XxC8uo5t0qhUch1W4stW7s9U4SnHUqyXWCVE+1SvNWkU6lypRKlWk9SkZCpcpMPKoykqvISKtWael1JKdhBKRlBTK7zrYEz9A15FzyIwBqNxZb3Qe2pXgn35zS5PpmnvtNqj6uxu0uI7HvMCzJ6YjFgj17IBnTruHwvF8j9iRS8y8AS1SWxoNJMxgwXMUfYjIW+KDpUIBz2xz2hDOLYCC04HSAq6++OuDxK6+88oxj6enpJ8WmrXPz8/PJz+/UCCLi1Fqc5z6fWFLxZdeYPeky9PCIHfclHxxY7/zkYuvBzASxjnN6Eovcvsb6PcmuapXmqyJDjqiMhpdUZsURlXmoksykoyojpVqlpx4jLaOepBSMb+GIzLDb0nvhOXHk5HNvTSXWtJ6ntbEkppB92U8AY4Vx32PfxZZpLG6mj7+I9PEXAVC96Bls6cEuIHWKYPb+tRauci3whlKqaZK3IyEmYc0i2JLuLDiasKNUTp+yAzV5LycPtblnejCUomlDlgLKAWP+8ATp7CedVpecnP5HxPB4FN/+aG+P/zv7+ydycmy+H8yryCz6Re/aoUOXnJz3qKnxSlKSRdntwttvHU/cMMlp/8XlRbUAVVUe6dnTpg4ebLT8/PkDGX/9+1nHMzI+CEN549ZRynKivTJVbYSr3AD8vFm7jsThhJxFMBS6s+AEk69FExQ+z4CBm1bk5m7obbV6pzR/JaohcSGSYBd+9ONsfvnzgz18PsXFl6QzLC8x8+23jYj/K67IYN/eRv74x8NYLMKgQXbm3J2DRegJ8PvfHebECS82m/Djn+TQI9MacOgWVsQX7Mpqy3CVwRhbeRa1aBdquEpHsggGjSgVUcE2DYfDkQa0mh9W0z4WS2PdkKFrVvXrt32YiDK9tHCcsKawoKzdhGUiMhG4Syn1rY5cREQeBJ5TSn3RkfMD9DcLuLvT+XC6MHFRHD4S2O0NlcOGr9jYq9fe8SInKzlqooOn/SZdN1yl23o4AA6Hw4MRMakJguTk43tGjFhWnp5xZIpI9MMKNAB8WFhQ9lWzjYgU3dnDAWOMGmKxtvgjPePwlhEjllUlJ5+YJkKu2fbEOYfNNiCSdHfBOYIWnFbJzt69Jm/Y5yQkOMNVW0nTebTgdGEO0NZGwLjE5+1/1tbPBw9e18Nq9WihiT2OtN+k6xIPgqMBxOJxDh60/vP+Z20ZZLH4olVnSRM62sPpwsS94NhsrmN5wz5fl5NTfrYIwZfa1ZiFFpwuTNwKTmJi7f4RI5Ztz+xxcJIIs8y2RxM0WnC6MBVmGxBtUtOO7hg5YunBlNRj00SITmJkTTjZY7YBkaS7C84Wsw2IFlk9K9YPH77CnZBQP1lEVxvtohwtLCg7aLYRkaS7C85mjP0gsbzlpxMo1bfv9s+HDF2TYrM1jjfbGk2n2WS2AZGmW5fBdTgctXRDF1XE684dtL5k+owXdw0fsWKazdY4tv2zNF2AjWYbEGm6u4cDhpfTLSpwWq3uE0OHrl7Tp2/ZKJHAuaU1XRotON2ATcAlZhvRGRIS6g8PH758c1bPfRP1ilO3RgtON6C9sqkxS0rKsV0jRi6tSEs7OlULTVygBacbsMRsA0IlM/PgpuEjltUkJdVOFdFbM+KE3YUFZdVmGxFpunV6iiYcDscejGxoMU1O752r8vJW2e12l15xij+eLiwo+7bZRkSaePBwwPBybjDbiMD4PAMGbl6Rm/tFb6vVO9lsazSmUWy2AdFAC45JWCyNdUOGrF3dt9+2oRaLmm62PRrTWWi2AdEgXgSnxGwDmrDbnUeHDVuxoVf2nnF6M6XGz9bCgrKQS650ReJFcDZi1NAxbW9RUvKJvSNGLN2VYaTvnGWWHZqYJC68G+jmkcZNOBwOBbxlxrXT049snTR5/tLJk+f3z8w8MlPnCtYEIC7mbyB+PBwwinbNjtbFevXas3bY8BW+hARnuyU/NHGNB/jEbCOiRTwJTjFGnar0yF1C+fr337pi0OC1mTabZ2LkrqPpRnxUWFBWZbYR0SIuhlQADofDDbwfib7F4nEOHrJm8fQZL+7NG7byPJvNMzoS19F0S14024BoEk8eDsAbwDfD1ZnN5jqel7dyXU7vXaP1ipOmA9QDb5ptRDSJN8F5EzgOZHamk8TE2gPDRyzb1sNI36krU2o6ytuFBWW1ZhsRTeJmSAXgcDgagJc6en5qalXZxHMWfDZl6hvZWVkHLxTRNa80nSKuhlMQfx4OwFOEuFqVlbXvi+HDl7sSEusni5AXIbs08UUV8J7ZRkSbuNi82RKHw/EF0E6WPKX69N2xcujQ1ck6o54mAvyjsKDsB2YbEW3i0cMB+DfwSKAXRLzugQM3fj4wd2M/i8U3Ncp2aeIDBfzVbCPMIF4F51ng9zSrO261NtYMGbpqTd++ZSNE1AzzTNPEAW8XFpRtM9sIM4jLIRWAw+H4K/CjhIT6w8OGLy/t2XPfBJHOrV5pNEFyYWFB2WKzjTCDePVwAP4yfsJ749LTK8/TS9uaKLIyXsUG4mxZvDkOh6M8I6NynwiJZtuiiSseMtsAM4lbwfHzB4wJPI0mGuwG/mu2EWYS14JTWFC2iTgLLdeYyv2FBWVes40wk7gWHD+/BuL6TaCJCpswwjHimrgXHL+X8y+z7dB0e+6Jd+8GtOA08RvgmNlGaLotHxUWlMXdNoZAaMEBCgvKKoHfmW2HplviA+4x24hYQQvOKR4F4jL6UxNRni0sKFtvthGxghYcP4UFZY3A3WbboelW1AC/MtuIWEILTjMKC8reBt4x2w5Nt2FOYUHZPrONiCXieWtDa3wPo45VT7MNiVW8XsWdd+4ju5eN++7vy3/+U8XSz+qxWKBHDyv3/DSH7Owz31qff17PP+YexedTXHJpBjfc0AOAsjIXj/ylkganj7597Pz8F71JTe3y34UfFBaUPWG2EbFGl/+vhpvCgrIDwPfNtiOWeeP14+Tm2k8+v/baHjzx5AAe/9cAzj03heefqz7jHK9X8fe/VXL/H/ry76cG8klxLbvL3QA89FAlt3+vJ08+OZDpM1J45ZUuv2B4HLjdbCNiES04ASgsKHuFOEz/GAxHjnhYsaKeSy/NOHmsuTfS4PSBnHne1i0u+p9lp39/O3a7MOtLqXy2tA6Air1uxo1LAmDSpBRKFtdF9iYiz08KC8oqzDYiFtGC0zo/APT4uwX/mHuU793RC2khKk/9u4obrt9N8cJabrvtzNFoZaWH3jmnhlk5OTaOVhpxcIMHJ7B0aT0AixfVcuSIJ3I3EHkWFBaUPW22EbGKFpxWKCwoOwZ8G7258yTLl9XRI8vKiBFnbrD/znd78tLLgygoTGP+m8fPeD3gH9EvWnffk8Nb80/w/dkV1DcobLYALlLX4Chwh9lGxDJacNqgsKDsI1pJRRqPbNzkYtnSOm66cQ/3/f4w69Y18If7D5/WprAwjZKSM4dEOdk2DjfzXI4c8dCrlxWA3NwE/vinfvzzsQEUfCmV/v3tZ5zfBfABN/rnADWtoAWnfe4BPjbbiFjg9tt78vK8QbzwYi6//FVvJkxI5ue/6E1FRePJNkuX1jNwYMIZ544clci+fY0cONBIY6Pi00/qOP/8VACqq42hlc+neP6FY1x+RQSrMUcOR2FB2YdmGxHr6GXxdigsKPMuLM67FvgcGGa2PbHIk08epWJvIyJCnz42fvKTbMCYt3n4oSPc/4d+WK3C//5vNkU/O4jPp7j4knQGDzaE6ZPiWubPPwHAjAtSuPjiLic4b2PkyNa0Q9zmNA6VhcV5+cByIKO9tpq4YhNwXmFBWY3ZhnQF9JAqSAoLykqBGzDG6hoNQCVwhRab4NGCEwKFBWXvAkVm26GJCRqAbxQWlO0y25CuhBacECksKHsQ+LvZdmhMxQ1cXVhQVmK2IV0NLTgd48foLIHxihe4QSfU6hhacDpAYUGZAmYD/zHbFk1UUcBthQVlr5ttSFdFC04H8YvO7cALZtuiiRrfLywoe95sI7oyWnA6QWFBmQ+4FXjVbFs0EWdOYUHZ42Yb0dXRcThhYGFxng14FmPZXNO98ADf0xsyw4P2cMJAYUGZB7gJo5KnpvtQC1yuxSZ8aA8nzCwszrsd+Cd620hX5yBwaWFB2VqzDelOaMGJAAuL8y7CmNfR2yC6JluASwoLysrNNqS7oYdUEcC/a/gCQGd963osAqZrsYkMWnAiRGFB2RfAVKDYbFs0QeED7gMKCwvKqsw2pruih1QRZmFxngVj/9X/oed1YpVDwM2FBWU671GE0YITJRYW552HkZh9sMmmaE5nIYbYHDTbkHhAD6miRGFB2TJgAvCK2bZoAGNP1G+Ai7TYRA/t4ZjAwuK87wB/BrLMtiVOWQv8T2FB2UqzDYk3tIdjAoUFZU8BI4Gn0VUhokkN8BNgihYbc9AejsksLM6bDvwDGGe2Ld2c14Ef6Vrf5qIFJwZYWJxnBf4X+B3Q5TKIxzi7gR8WFpQtMNsQjRacmGJhcV4/wIFRgK9LFmeKIfYD9wNPFBaUuc02RmOgBScGWVicNxRjBeVmwGqyOV2NQ8ADwGOFBWVOs43RnI4WnBhmYXHecOBnwC1oj6c9KoE/AXMLC8rqzTZGExgtOF2AhcV5A4G7gNuAHuZaE3NsBB4DniksKKs12xhN22jB6UIsLM5LBq7BSG0602RzzMQF/Bdj2LTEbGM0waMFp4uysDhvBIbw3Ar0NtmcaLEDo1rGfwoLyirNNkYTOlpwujgLi/PswGXA1/0/c8y1KOxsBN4E3iwsKFtttjGazqEFpxvh35k+FbgCuJyuGUzoBZZySmR2mmyPJoxowenGLCzOywUuAc4DpgCjiL3tLF5gHbDE//hUD5e6L1pw4oiFxXnpwCQM8Wl65BI9EaoFdmEMk1YCq4A1hQVldVG6vsZktODEOQuL8xKAgcAg/2Nws9+zgRQg2f9IARJadOHGEJLmjxPAXmBn80dhQdnhyN6NJtbRgqMJCf88UQpG9sK6woKyRpNN0nQhtOBoNJqoEWsTiBqNphujBUcTM4hIsogsEhGr//mtIrLd/7g1iPNnisgaEfGIyDUtXgvYl4i8ICJVLdtrIoMeUmliBhH5AWBTSv1VRHpirGJNxsiKuBqYpJSqbuP8wRjFB+8G3lJK/dd/vM2+RORpYEFTe03k0B6OJpa4CZjv//2rwEdKqSq/MHwEXNzWyUqpcqXUFxg1ppoTcl+ayKAFRxMTiEgCMFQpVe4/dBbG0noTFf5jHSGcfWk6gRYcTayQDRxr9lwCtOno+D+cfWk6gRYcTazQACQ1e16BEZDYxACMtKEdIZx9aTqBFhxNTOCfW7GKSJPofABcJCJZIpIFXOQ/hoj8QUSuCqH7VvvSRBctOJpY4kNgBoBSqgq4F2PP1Urgd/5jAGOBM6plisgUEakAvgk8LiKbguhLE0X0srgmZhCRicBdSqlvtdPuA6XUV8N43afRy+JRQXs4mphBKbUW+KQp8K+NduEUmxeACwFd4SEKaA9Ho9FEDe3haDSaqKEFR6PRRA0tOBqNJmpowdFoNFFDC45Go4kaWnA0Gk3U0IKj0WiihhYcjUYTNbTgaDSaqKEFR6PRRA0tOBqNJmpowdFoNFFDC45Go4kaWnA0Gk3U0IKj0Wiixv8H8h7W1IJpp+0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timerange_isPolitics = df_temp1.loc[df_temp1['是否为时政'] == '否']['时间差分段'].value_counts(ascending=True)\n",
    "timerange_isPolitics.name = ''\n",
    "timerange_isPolitics.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a741a14748>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1.1 时政话题占比\n",
    "\n",
    "df1.drop_duplicates(subset=['标题']) # 去重\n",
    "politics_count = df1['是否为时政'].value_counts()\n",
    "politics_count.index = ['Not current politics subject', 'The current politics subject']\n",
    "politics_count.name = ''\n",
    "politics_count.plot.pie(y = -0.1, autopct='%.2f', title='Current Politics\\' Persentage')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a7419a8e48>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1.2 时政话题用户参与度\n",
    "\n",
    "df1['用户参与度'] = df1['回答数量'] / df1['热度'] * 100 # 参与度算法：回答数量/热度 * 100\n",
    "df1['用户参与度分段'] = pd.cut(df1['用户参与度'], range(0, 100, 5))\n",
    "df1['用户参与度分段'].value_counts(ascending=True).plot.bar(title='User engagement is distributed by interval')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a74190f088>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 时政话题关注度分布\n",
    "isPolitics = df1.loc[df1['是否为时政'] == '是']['用户参与度分段'].value_counts(ascending=True)\n",
    "isPolitics.name = ''\n",
    "isPolitics.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a7407c3808>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 非时政话题关注度分布\n",
    "notPolitics = df1.loc[df1['是否为时政'] == '否']['用户参与度分段'].value_counts(ascending=True)\n",
    "notPolitics.name = ''\n",
    "notPolitics.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "是    111\n",
      "否     62\n",
      "Name: 是否为机构号, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a7406ad308>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.1 时政话题提出者占比\n",
    "\n",
    "organization_raiser_politics = df1.loc[df1['是否为时政'] == '是']['是否为机构号'].value_counts()\n",
    "print(organization_raiser_politics)\n",
    "organization_raiser_politics.name = ''\n",
    "organization_raiser_politics.index = ['Organization', 'Non-organization']\n",
    "organization_raiser_politics.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "否    324\n",
      "是    103\n",
      "Name: 是否为机构号, dtype: int64\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a740651c08>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "non_organization_raiser_politics = df1.loc[df1['是否为时政'] == '否']['是否为机构号'].value_counts()\n",
    "print(non_organization_raiser_politics)\n",
    "non_organization_raiser_politics.name = ''\n",
    "non_organization_raiser_politics.index = ['Non-organization', 'Organization']\n",
    "non_organization_raiser_politics.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "匿名         94\n",
       "中国新闻周刊     36\n",
       "环球时报       28\n",
       "经济观察报      26\n",
       "小兔子        15\n",
       "每日经济新闻     15\n",
       "fifizoo    14\n",
       "参考消息       12\n",
       "中国网        11\n",
       "封面新闻       11\n",
       "Name: 提问者, dtype: int64"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 全部提问者身份计数\n",
    "df1['提问者'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "环球时报      25\n",
       "中国新闻周刊    19\n",
       "参考消息      12\n",
       "经济观察报     10\n",
       "匿名         9\n",
       "中国网        9\n",
       "小兔子        9\n",
       "中国新闻网      8\n",
       "观察者网       5\n",
       "封面新闻       4\n",
       "Name: 提问者, dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 时政话题提问者身份计数\n",
    "df1.loc[df1['是否为时政'] == '是']['提问者'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a7405f3bc8>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.3 上榜速度和提问者类型的关系（操作同问题1.2）\n",
    "\n",
    "df_temp2 = df1.loc[:].dropna(subset=['进入热榜时间', '问题创建时间']) # 去nan\n",
    "df_temp2['进入热榜时间戳'] = df_temp2['进入热榜时间'].apply(parse_time)\n",
    "df_temp2['问题创建时间戳'] = df_temp2['问题创建时间'].apply(parse_time)\n",
    "df_temp2['时间差'] = df_temp2['进入热榜时间戳'] - df_temp1['问题创建时间戳']\n",
    "df_temp2['格式化时间差'] = df_temp2['时间差'].apply(parse_timerange)\n",
    "df_temp2['时间差分段'] = pd.cut(df_temp2['格式化时间差'], range(0, 100, 10))\n",
    "df_temp2['时间差分段'].value_counts(ascending=True).plot.bar(title='Segmented statistics of time difference from issue to hot list (unit: hour)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a73fb7ffc8>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timerange_isOrganization = df_temp2.loc[df_temp2['是否为机构号'] == '是']['时间差分段'].value_counts(ascending=True)\n",
    "timerange_isOrganization.name = ''\n",
    "timerange_isOrganization.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a740784a88>"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timerange_isNonOrganization = df_temp2.loc[df_temp2['是否为机构号'] == '否']['时间差分段'].value_counts(ascending=True)\n",
    "timerange_isNonOrganization.name = ''\n",
    "timerange_isNonOrganization.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a741bf6588>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3.1 回答者对认可度影响\n",
    "df2.drop_duplicates(subset=['回答内容'])\n",
    "df2.dropna(subset=['作者'])\n",
    "df2['认可度'] = (df2['赞数']+ df2['评论数'] * 0.5) / 10\n",
    "df2['认可度分段'] = pd.cut(df2['认可度'], [0, 5, 50, 100, 200, 300, 400, 500, 1000], ['0-5','5-50','50-100','100-200','200-300','300-400','400-500','500-1000','1000及以上'])\n",
    "organizationd_approve = df2.loc[df2['是否为机构号'] == 1.0]['认可度分段'].value_counts()\n",
    "organizationd_approve.name = ''\n",
    "organizationd_approve.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a73a538988>"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nonorganizationd_approve = df2.loc[df2['是否为机构号'] == 0.0]['认可度分段'].value_counts()\n",
    "nonorganizationd_approve.name = ''\n",
    "nonorganizationd_approve.plot.pie(autopct='%.2f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "天眼查                15\n",
       "腾讯医典                9\n",
       "人民网                 6\n",
       "厨房人类                5\n",
       "企查查                 5\n",
       "环球时报                4\n",
       "云锋金融                4\n",
       "封面新闻                4\n",
       "经济观察报               4\n",
       "å�†å�²ç�¯æ¸¸è®°     3\n",
       "Name: 作者, dtype: int64"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#3.2 积极回答者\n",
    "df2.loc[df2['是否为机构号'] == 1.0]['作者'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "匿名用户       101\n",
       "希刺克厉夫       44\n",
       "安好心         29\n",
       "文刀半瞎        27\n",
       "亭曈          25\n",
       "静枫纸鸢        25\n",
       "「已注销」       23\n",
       "明镜磨心        22\n",
       "托卡马克之冠      21\n",
       "答疑解惑李先森     21\n",
       "Name: 作者, dtype: int64"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.loc[df2['是否为机构号'] == 0.0]['作者'].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
